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G. Valentini, E. Ferrante, H. Hamann, and M. Dorigo. Collective Decision with 100 Kilobots: Speed versus Accuracy in Binary Discrimination Problems. Autonomous Agents and Multi-Agent Systems, 30(3):553-580, 2016.
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G. Podevijn, R. O'Grady, N. Mathews, A. Gilles, C. Fantini-Hauwel, and M. Dorigo. Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human-swarm interaction. Swarm Intelligence, 10(3):193-210, 2016.
© Springer-Verlag 2016 – http://doi.org/10.1007/s11721-016-0124-3
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Y. Khaluf and M. Dorigo. Modeling Robot Swarms Using Integrals of Birth-Death Processes. ACM Transactions on Autonomous and Adaptive Systems, 11(2):8:1-8:16, 2016.
© ACM Press 2016 – http://doi.acm.org/10.1145/2870637
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G. Podevijn, R. O'Grady, C. Fantini-Hauwel, and M. Dorigo. Investigating the effect of the reality gap on the human psychophysiological state in the context of human-swarm interaction. PeerJ Computer Science, 2(e82), 2016.
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A. Scheidler, A. Brutschy, E. Ferrante, and M. Dorigo. The k-Unanimity Rule for Self-Organized Decision-Making in Swarms of Robots. IEEE Transactions on Cybernetics, 46(5):1175-1188, 2016.
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T. Soleymani, V. Trianni, M. Bonani, F. Mondada, and M. Dorigo. Bio-inspired construction with mobile robots and compliant pockets. Robotics and Autonomous Systems, 74:340-350, 2015.
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N. Mathews, G. Valentini, A. Christensen, R. O'Grady, A. Brutschy, and M. Dorigo. Spatially Targeted Communication in Decentralized Multirobot Systems. Autonomous Robots, 38(4):439-457, 2015.
© Springer-Verlag 2015 – http://dx.doi.org/10.1007/s10514-015-9423-6
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A. Reina, R. Miletitch, M. Dorigo, and V. Trianni. A quantitative micro-macro link for collective decision: The shortest path discovery/selection example. Swarm Intelligence, 9(2-3):75-102, 2015.
© Springer-Verlag 2015 – http://dx.doi.org/10.1007/s11721-015-0105-y
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A. Brutschy, L. Garattoni, M. Brambilla, G. Francesca, G. Pini, M. Dorigo, and M. Birattari. The TAM: abstracting complex tasks in swarm robotics research. Swarm Intelligence, 9(1):1-22, 2015.
© Springer-Verlag 2015 – http://dx.doi.org/10.1007/s11721-014-0102-6
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M. Brambilla, A. Brutschy, M. Dorigo, and M. Birattari. Property-driven design for robot swarms: A design method based on prescriptive modeling and model checking. ACM Transactions on Autonomous and Adaptive Systems, 9(4):17:1-17:28, 2015.
© ACM Press 2015 – http://dx.doi.org/10.1145/2700318
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M. Dorigo, M. Birattari, S. Garnier, H. Hamann, M. Montes de Oca, C. Solnon, and T. St├╝tzle. ANTS 2014 special issue -- Editorial. Swarm Intelligence, 9(2-3):71-73, 2015.
© Springer-Verlag 2015 – http://dx.doi.org/10.1007/s11721-015-0111-0
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Estimation-based Metaheuristics for the Single Vehicle Routing Problem with Stochastic Demands and Customers. Computational Optimization and Applications, 61(2):463-487, 2015.
© Springer-Verlag 2015 – http://dx.doi.org/10.1007/s10589-014-9719-z
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A. Reina, G. Valentini, C. Fernández-Oto, M. Dorigo, and V. Trianni. A Design Pattern for Decentralised Decision Making. PLoS ONE, 10(10):e0140950, 2015.
© Public Library of Science 2015 – http://dx.plos.org/10.1371/journal.pone.0140950
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T. Liao, K. Socha, M. Montes de Oca, T. St├╝tzle, and M. Dorigo. Ant Colony Optimization for Mixed-Variable Optimization Problems. IEEE Transactions on Evolutionary Computation, 18(4):503-518, 2014.
© IEEE Computational Intelligence Society 2014 – 10.1109/TEVC.2013.2281531
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T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, and R. Doursat. Special Issue for the 20th Anniversary of the European Conference on Artificial Life (ECAL 2011) - Editorial. Artificial Life, 20(1):1-3, 2014.
© MIT Press 2014 – http://dx.doi.org/
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G. Pini, A. Brutschy, A. Scheidler, M. Dorigo, and M. Birattari. Task Partitioning in a Robot Swarm: Object Retrieval as a Sequence of Subtasks with Direct Object Transfer. Artificial Life, 20(3):291-317, 2014.
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T. Liao, T. St├╝tzle, M. Montes de Oca, and M. Dorigo. A Unified Ant Colony Optimization Algorithm for Continuous Optimization. European Journal of Operational Research, 234(3):597-609, 2014.
© Elsevier 2014 – 10.1016/j.ejor.2013.10.024
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R. Gro├č, F. Mondada, and M. Dorigo. Fault Tolerance in Groups of Tightly Coupled Robots. IEEE Transactions on Evolutionary Computation, 2014.
© IEEE Computational Intelligence Society 2014 – http://dx.doi.org/
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F. Ducatelle, G. Di Caro, A. F├Ârster, M. Bonani, M. Dorigo, S. Magnenat, F. Mondada, R. O'Grady, C. Pinciroli, P. R├ętornaz, V. Trianni, and L. M. Gambardella. Cooperative Navigation in Robotic Swarms. Swarm Intelligence, 8(1):1-33, 2014.
© Springer-Verlag 2014 – http://dx.doi.org/10.1007/s11721-013-0089-4
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M. Dorigo, M. Birattari, and M. Brambilla. Swarm Robotics. Scholarpedia, 9(1):1463, 2014.
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A. Brutschy, G. Pini, C. Pinciroli, M. Birattari, and M. Dorigo. Self-organized Task Allocation to Sequentially Interdependent Tasks in Swarm Robotics. Autonomous Agents and Multi-Agent Systems, 28(1):101-125, 2014.
© Springer 2014 – http://dx.doi.org/
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E. Ferrante, A. E. Turgut, A. Stranieri, C. Pinciroli, M. Birattari, and M. Dorigo. A Self-Adaptive Communication Strategy for Flocking in Stationary and Non-Stationary Environments. Natural Computing, 13(2):225-245, 2014.
© Springer-Verlag 2014 – http://dx.doi.org/10.1007/s11047-013-9390-9
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M. Brambilla, E. Ferrante, A. Prina, M. Birattari, and M. Dorigo. Robotica di sciame: Una rassegna bibliografica. Sistemi Intelligenti, XXVI(3):465-494, 2014.
© Societ├á editrice il Mulino 2014
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A. Reina, L. M. Gambardella, M. Dorigo, and G. Di Caro. ZePPeLIN: Distributed Path Planning Using an Overhead Camera Network. International Journal of Advanced Robotic Systems, 11:119, 2014.
© IN-TECH 2014 – http://dx.doi.org/10.5772/58748
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C. Pinciroli, M. Birattari, and M. Dorigo. ARGoS: un simulatore modulare e multi-motore per sistemi multi-robot. Sistemi Intelligenti, XXVI(3):495-519, 2014.
© Societ├á editrice il Mulino 2014
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G. Pini, A. Brutschy, C. Pinciroli, M. Dorigo, and M. Birattari. Autonomous task partitioning in robot foraging: an approach based on cost estimation. Adaptive Behavior, 21(2):118-136, 2013.
© SAGE Publications 2013 – http://dx.doi.org/10.1177/1059712313484771
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M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo. Swarm Robotics: A Review from the Swarm Engineering Perspective. Swarm Intelligence, 7(1):1-41, 2013.
© Springer-Verlag 2013 – http://dx.doi.org/10.1007/s11721-012-0075-2
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C. Pinciroli, R. O'Grady, A. Christensen, M. Birattari, and M. Dorigo. Parallel Formation of Differently Sized Groups in a Robotic Swarm. Journal of the Society of Instrument and Control Engineers, 52(3):213-226, 2013.
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G. Pini, M. Gagliolo, A. Brutschy, M. Dorigo, and M. Birattari. Task Partitioning in a Robot Swarm: A Study on the Effect of Communication. Swarm Intelligence, 7(2-3):173-199, 2013.
© Springer-Verlag 2013 – http://dx.doi.org/10.1007/s11721-013-0078-7
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M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. Christensen, A. Decugni├Ęre, G. Di Caro, F. Ducatelle, E. Ferrante, A. F├Ârster, J. Guzzi, V. Longchamp, S. Magnenat, J. Martinez Gonzales, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. R├ętornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. St├╝tzle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard. Swarmanoid: A novel concept for the study of heterogeneous robotic swarms. IEEE Robotics & Automation Magazine, 20(4):60-71, 2013.
© IEEE Robotics and Automation Society 2013 – 10.1109/MRA.2013.2252996
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M. Dorigo, M. Birattari, C. Blum, A. Christensen, A. P. Engelbrecht, R. Gro├č, and T. St├╝tzle. ANTS 2012 special issue -- Editorial. Swarm Intelligence, 7(2-3):79-81, 2013.
© Springer-Verlag 2013 – http://dx.doi.org/10.1007/s11721-013-0086-7
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M. Massink, M. Brambilla, D. Latella, M. Dorigo, and M. Birattari. On the Use of Bio-PEPA for Modelling and Analysing Collective Behaviours in Swarm Robotics. Swarm Intelligence, 7(2-3):201-228, 2013.
© Springer-Verlag 2013 – http://dx.doi.org/10.1007/s11721-013-0079-6
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E. Ferrante, A. E. Turgut, M. Dorigo, and C. Huepe. Collective Motion Dynamics of Active Solids and Active Crystals. New Journal of Physics, 15:095011, 2013.
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E. Ferrante, A. E. Turgut, M. Dorigo, and C. Huepe. Elasticity-Based Mechanism for the Collective Motion of Self-Propelled Particles with Springlike Interactions: A Model System for Natural and Artificial Swarms. Physical Review Letters, 111:268302, 2013.
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E. Ferrante, A. E. Turgut, C. Huepe, A. Stranieri, C. Pinciroli, and M. Dorigo. Self-Organized Flocking with a Mobile Robot Swarm: a Novel Motion Control Method. Adaptive Behavior, 20(6):460-477, 2012.
© SAGE Publications 2012 – http://dx.doi.org/10.1177/1059712312462248
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A. Brutschy, N.-L. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, and M. Birattari. Costs and Benefits of Behavioral Specialization. Robotics and Autonomous Systems, 60(11):1408-1420, 2012.
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C. Pinciroli, V. Trianni, R. O'Grady, G. Pini, A. Brutschy, M. Brambilla, N. Mathews, E. Ferrante, G. Di Caro, F. Ducatelle, M. Birattari, L. M. Gambardella, and M. Dorigo. ARGoS: A Modular, Parallel, Multi-Engine Simulator for Multi-Robot Systems. Swarm Intelligence, 6(4):271-295, 2012.
© Springer-Verlag 2012 – http://dx.doi.org/10.1007/s11721-012-0072-5
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M. Dorigo. Swarm Intelligence research at IRIDIA, Universit├ę Libre de Bruxelles. Mathware & Soft Computing, 19(2):19-22, 2012.
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M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, L. M. Gambardella, R. Gro├č, E. Sahin, and T. St├╝tzle. ANTS 2010 Special Issue -- Editorial. Swarm Intelligence, 5(3-4):143-147, 2011.
© Springer-Verlag 2011 – http://dx.doi.org/10.1007/s11721-011-0064-x
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A. Mantrach, N. van Zeebroeck, P. Francq, M. Shimbo, H. Bersini, and M. Saerens. Semi-supervised classification and betweenness computation on large, sparse, directed graphs. Pattern Recognition, 44(6):1212-1224, 2011.
© Elsevier 2011 – 10.1016/j.patcog.2010.11.019
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J. Dubois-Lacoste, M. López-Ibáñez, and T. Stützle. A Hybrid TP+PLS Algorithm for Bi-objective Flow-Shop Scheduling Problems. Computers & Operations Research, 38(8):1219-1236, 2011.
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C. Teixeira, J. Covas, T. St├╝tzle, and A. Gaspar-Cunha. Engineering an Efficient Two-Phase Local Search for the Co-Rotating Twin-Screw Configuration Problem. International Transactions in Operational Research, 18(2):271-291, 2011.
© Blackwell Publishing 2011 – http://dx.doi.org/10.1111/j.1475-3995.2010.00798.x
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O. Korb, T. St├╝tzle, and T. E. Exner. Accelerating Molecular Docking Calculations Using Graphics Processing Units. Journal of Chemical Information and Modeling, 2011.
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A. Roli, S. Benedettini, T. St├╝tzle, and C. Blum. Large Neighbourhood Search for the Founder Sequence Reconstruction Problem. Computers & Operations Research, 2011. Accepted for publication.
© Elsevier 2011
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M. Montes de Oca, D. Aydin, and T. St├╝tzle. An Incremental Particle Swarm for Large-scale Optimization Problems: An Example of Tuning-in-the-loop (Re)Design of Continuous Optimization Algorithms. Soft Computing, 2011.
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M. Montes de Oca, T. St├╝tzle, K. Van den Enden, and M. Dorigo. Incremental Social Learning in Particle Swarms. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 41(2):368-384, 2011.
© IEEE Systems, Man, & Cybernetics Society 2011
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A. Campo, S. Garnier, O. D├ędriche, M. Zekkri, and M. Dorigo. Self-Organized Discrimination of Resources. PLoS ONE, 6(5):e19888, 2011.
© Public Library of Science 2011 – http://dx.plos.org/10.1371/journal.pone.0019888
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G. Pini, A. Brutschy, M. Frison, A. Roli, M. Dorigo, and M. Birattari. Task Partitioning in Swarms of Robots: An Adaptive Method for Strategy Selection. Swarm Intelligence, 5(3-4):283-304, 2011.
© Springer-Verlag 2011 – http://dx.doi.org/10.1007/s11721-011-0060-1
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M. Montes de Oca, E. Ferrante, A. Scheidler, C. Pinciroli, M. Birattari, and M. Dorigo. Majority-Rule Opinion Dynamics with Differential Latency: A Mechanism for Self-Organized Collective Decision-Making. Swarm Intelligence, 5(3-4):305-327, 2011.
© Springer-Verlag 2011 – http://dx.doi.org/10.1007/s11721-011-0062-z
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Computers & Operations Research, 37(11):1939-1951, 2010.
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R. O'Grady, R. Gro├č, A. Christensen, and M. Dorigo. Self-assembly Strategies in a Group of Autonomous Mobile Robots. Autonomous Robots, 28(4):439-455, 2010.
© Springer-Verlag 2010 – http://dx.doi.org/10.1007/s10514-010-9177-0
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C. Twomey, T. St├╝tzle, M. Dorigo, M. Manfrin, and M. Birattari. An Analysis of Communication Policies for Homogeneous Multi-colony ACO Algorithms. Information Sciences, 180:2390-2404, 2010.
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?. Guti├ęrrez, A. Campo, F. Monasterio-Huelin, L. Magdalena, and M. Dorigo. Collective Decision-making Based on Social Odometry. Neural Computing & Applications, 19(6):807-823, 2010.
© Springer-Verlag 2010 – http://dx.doi.org/10.1007/s00521-010-0380-x
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A. Campo, ?. Guti├ęrrez, S. Nouyan, C. Pinciroli, V. Longchamp, S. Garnier, and M. Dorigo. Artificial Pheromone for Path Selection by a Foraging Swarm of Robots. Biological Cybernetics, 103(5):339-352, 2010.
© Springer-Verlag 2010 – http://dx.doi.org/10.1007/s00422-010-0402-x
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J. Sabino, J. E. Leal, T. St├╝tzle, and M. Birattari. A multi-objective ant colony optimization method applied to switch engine scheduling in railroad yards. Pesquisa Operacional, 30(2):487-514, 2010.
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C. Piscopo and M. Birattari. A critique of the constitutive role of truthlikeness in the similarity approach. Erkenntnis, 72(3):379-386, 2010.
© Springer-Verlag 2010
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E. Hart, H. Bersini, and F. C. Santos. Structure versus function: a topological perspective on immune networks. Natural Computing, 9(3):603-624, 2010.
© Springer-Verlag 2010 – 10.1007/s11047-009-9138-8
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H. Bersini. Software Replica of Minimal Living Processes. Origins of Life and Evolution of Biospheres, 40(2):121-130, January 2010.
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H. Bersini. Emergence phenomena only belong to Biology. Synthese, (3), 2010.
© Springer 2010 – 10.1007/s11229-010-9724-4
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A. Coletta, J. W. Pinney, D. Weiss Sol├şs, J. Marsh, S. R. Pettifer, and T. K. Attwood. Low-complexity regions within protein sequences have position-dependent roles. BMC Systems Biology, 4:43, 2010.
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A. Mantrach, L. Yen, J. Callut, K. Francoisse, M. Shimbo, and M. Saerens. The Sum-Over-Paths covariance kernel: a novel covariance between nodes of a directed graph. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(6):1112-1126, 2010.
© IEEE Computer Society Press 2010
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O. Korb, T. St├╝tzle, and T. E. Exner. PharmACOphore: Multiple Flexible Ligand Alignment Based on Ant Colony Optimization. Journal of Chemical Information and Modeling, 50(9):1669-1681, 2010.
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T. Urlings, R. Ruiz, and T. St├╝tzle. Shifting Representation Search for Hybrid Flexible Flowline Problems. European Journal of Operational Research, 207(2):1086-1095, 2010.
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?. Guti├ęrrez, A. Campo, F. C. Santos, F. Monasterio-Huelin, and M. Dorigo. Social Odometry: Imitation Based Odometry in Collective Robotics. International Journal of Advanced Robotic Systems, 26(2):129-136, 2009.
© IN-TECH 2009
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S. Nouyan, R. Gro├č, M. Bonani, F. Mondada, and M. Dorigo. Teamwork in Self-Organized Robot Colonies. IEEE Transactions on Evolutionary Computation, 13(4):695-711, 2009.
© IEEE Computational Intelligence Society 2009 – http://dx.doi.org/10.1109/TEVC.2008.2011746
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R. Gro├č and M. Dorigo. Towards Group Transport by Swarms of Robots. International Journal of Bio-Inspired Computation, 1(1-2):1-13, 2009.
© Inderscience Publishers 2009 – http://dx.doi.org/10.1504/IJBIC.2009.022770
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Adaptive Sample Size and Importance Sampling in Estimation-based Local Search for the Probabilistic Traveling Salesman Problem. European Journal of Operational Research, 199:98-110, 2009.
© Elsevier 2009
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R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Multirobot Morphogenesis using Directional Self-Assembly. IEEE Transactions on Robotics, 25(3):738-743, 2009.
© IEEE Robotics and Automation Society 2009 – http://dx.doi.org/10.1109/TRO.2008.2012341
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L. Bianchi, M. Dorigo, L. M. Gambardella, and W. J. Gutjahr. A Survey on Metaheuristics for Stochastic Combinatorial Optimization. Natural Computing, 8(2):239-287, 2009.
© Springer-Verlag 2009 – http://dx.doi.org/10.1007/s11047-008-9098-4
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C. Ampatzis, E. Tuci, V. Trianni, A. Christensen, and M. Dorigo. Evolving Self-Assembly in Autonomous Homogeneous Robots: Experiments with Two Physical Robots. Artificial Life, 15(4):465-484, 2009.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. IEEE Transactions on Evolutionary Computation, 13(5):1120-1132, 2009.
© IEEE Computational Intelligence Society 2009 – http://dx.doi.org/10.1109/TEVC.2009.2021465
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A. Christensen, R. O'Grady, and M. Dorigo. From Fireflies to Fault Tolerant Swarms of Robots. IEEE Transactions on Evolutionary Computation, 13(4):754-766, 2009.
© IEEE Computational Intelligence Society 2009 – http://dx.doi.org/10.1109/TEVC.2009.2017516
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P. Balaprakash, M. Birattari, T. St├╝tzle, Z. Yuan, and M. Dorigo. Estimation-based Ant Colony Optimization and Local Search for the Probabilistic Traveling Salesman Problem. Swarm Intelligence, 3(3):223-242, 2009.
© Springer-Verlag 2009
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K. F. Doerner, D. Merkle, and T. St├╝tzle. Special issue on Ant Colony Optimization. Swarm Intelligence, 3(1):1-2, 2009.
© Springer-Verlag 2009
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L. Paquete and T. St├╝tzle. Analysis of Components of Stochastic Local Search Algorithms for the Multiobjective Traveling Salesman Problem and the Design of Algorithms. Computers & Operations Research, 36(9):2619-2631, 2009.
© Elsevier 2009
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O. Korb, T. St├╝tzle, and T. E. Exner. Empirical Scoring Functions for Advanced Protein-Ligand Docking with PLANTS. Journal of Chemical Information and Modeling, 49(2):84-96, 2009.
URL Abstract
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R. Plasson and H. Bersini. Energetic and entropic analysis of a mirror symmetry breaking processes in a recycled microreversible chemical systems. Journal of Physical Chemistry B, 113(11):3477-3490, February 2009.
© American Chemical Society 2009 – 10.1021/jp803807p
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T. Lenaerts and H. Bersini. A Synthon Approach to Artificial Chemistry. Artificial Life, 15(1):89-103, December 2009.
© MIT Press 2009 – 10.1162/artl.2009.15.1.15106
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U. Salihoglu, H. Bersini, Y. Yamaguchi, and C. Molter. Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps. Neural Networks, 22(5-6):687-696, 2009.
URL Abstract
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W. C. G. van Staveren, D. Weiss Sol├şs, A. H├ębrant, V. Detours, J. E. Dumont, and C. Maenhaut. Human cancer cell lines: Experimental models for cancer cells in situ? For cancer stem cells? Biochimica et Biophysica Acta, 1795(2):92-103, April 2009.
© Elsevier 2009 – 10.1016/j.bbcan.2008.12.004
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F. Hutter, H. H. Hoos, K. Leyton-Brown, and T. St├╝tzle. ParamILS: An Automatic Algorithm Configuration Framework. Journal of Artificial Intelligence Research, 36:267-306, 2009.
© AI Access Foundation 2009 – http://dx.doi.org/10.1613/jair.2861
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R. Ruiz and T. St├╝tzle. An Iterated Greedy heuristic for the sequence dependent setup times flowshop problem with makespan and weighted tardiness objectives. European Journal of Operational Research, 187(3):1143-1159, 2008.
© Elsevier 2008
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P. M. Hahn, B.-J. Kim, W. L. Hightower, T. St├╝tzle, S. Kanthak, H. Samra, Z. Ding, and M. Guignard. The Quadratic Three-dimensional Assignment Problem: Exact and Heuristic Solution Methods. European Journal of Operational Research, 184(2):416-428, 2008.
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K. Socha and M. Dorigo. Ant Colony Optimization for Continuous Domains. European Journal of Operational Research, 185(3):1155-1173, 2008.
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S. Nouyan, A. Campo, and M. Dorigo. Path Formation in a Robot Swarm: Self-Organized Strategies to Find Your Way Home. Swarm Intelligence, 2(1):1-23, 2008.
© Springer-Verlag 2008
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E. Tuci, C. Ampatzis, F. Vicentini, and M. Dorigo. Evolving Homogeneous Neuro-controllers for a Group of Heterogeneous Robots: Coordinated Motion, Cooperation, and Acoustic Communication. Artificial Life, 14(2):157-178, 2008.
© MIT Press 2008
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C. Ampatzis, E. Tuci, V. Trianni, and M. Dorigo. Evolution of Signaling in a Multi-Robot System: Categorization and Communication. Adaptive Behavior, 16(1):5-26, 2008.
© SAGE Publications 2008
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A. Christensen, R. O'Grady, M. Birattari, and M. Dorigo. Fault Detection in Autonomous Robots Based on Fault Injection and Learning. Autonomous Robots, 24(1):49-67, 2008.
© Springer-Verlag 2008 – http://dx.doi.org/10.1007/s10514-007-9060-9
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R. Gro├č and M. Dorigo. Self-Assembly at the Macroscopic Scale. Proceedings of the IEEE, 96(9):1490-1508, 2008.
© IEEE Press 2008
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R. Gro├č and M. Dorigo. Evolution of Solitary and Group Transport Behaviors for Autonomous Robots Capable of Self-Assembling. Adaptive Behavior, 16(5):285-305, 2008.
© SAGE Publications 2008
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M. Birattari, P. Balaprakash, T. St├╝tzle, and M. Dorigo. Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem. INFORMS Journal on Computing, 20(4):644-658, 2008.
© INFORMS 2008
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A. Christensen, R. O'Grady, and M. Dorigo. SWARMORPH-script: a language for arbitrary morphology generation in self-assembling robots. Swarm Intelligence, 2(2-4):143-165, 2008.
© Springer-Verlag 2008
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M. Dorigo, M. Montes de Oca, and A. P. Engelbrecht. Particle Swarm Optimization. Scholarpedia, 3(11):1486, 2008.
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?. Guti├ęrrez, A. Campo, M. Dorigo, D. Amor, L. Magdalena, and F. Monasterio-Huelin. An Open Localization and Local Communication Embodied Sensor. Sensors, 8(11):7545-7563, 2008.
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C. Piscopo and M. Birattari. The metaphysical character of the criticisms raised against the use of probability for dealing with uncertainty in artificial intelligence. Minds and Machines, 18(2):273-288, 2008.
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R. Ruiz and T. St├╝tzle. A Simple and Effective Iterated Greedy Algorithm for the Permutation Flowshop Scheduling Problem. European Journal of Operational Research, 177(3):2033-2049, 2007.
© Elsevier 2007
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G. Baldassarre, V. Trianni, M. Bonani, F. Mondada, M. Dorigo, and S. Nolfi. Self-Organized Coordinated Motion in Groups of Physically Connected Robots. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 37(1):224-239, 2007.
© IEEE Systems, Man, & Cybernetics Society 2007 – http://dx.doi.org/10.1109/TSMCB.2006.881299
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M. Dorigo. Ant Colony Optimization. Scholarpedia, 2(3):1461, 2007.
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M. Birattari and M. Dorigo. How to Assess and Report the Performance of a Stochastic Algorithm on a Benchmark Problem: Mean or Best Result on a Number of Runs? Optimization Letters, 1(3):309-311, 2007.
© Springer-Verlag 2007 – http://dx.doi.org/10.1007/s11590-006-0011-8
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C. Molter, U. Salihoglu, and H. Bersini. The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. Neural Computation, 19(1):80-110, 2007.
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P. Smets and B. Ristic. Kalman filter and joint tracking and classification based on belief functions in the TBM framework. Information Fusion, 8(1):16-27, 2007.
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M. Dorigo and M. Birattari. Swarm Intelligence. Scholarpedia, 2(9):1462, 2007.
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M. Dorigo. Editorial. Swarm Intelligence, 1(1):1-2, 2007.
© Springer-Verlag 2007
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M. Birattari, P. Pellegrini, and M. Dorigo. On the Invariance of Ant Colony Optimization. IEEE Transactions on Evolutionary Computation, 11(6):732-742, 2007.
© IEEE Computational Intelligence Society 2007 – http://dx.doi.org/10.1109/TEVC.2007.892762
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A. Christensen, R. O'Grady, and M. Dorigo. Morphology Control in a Self-Assembling Multi-Robot System. IEEE Robotics & Automation Magazine, 14(4):18-25, 2007.
© IEEE Robotics and Automation Society 2007
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H. H. Hoos and T. St├╝tzle. Special issue on “Stochastic Search Algorithms”. Annals of Operations Research, 156:1-173, 2007.
© Springer-Verlag 2007
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L. Paquete, T. Schiavinotto, and T. St├╝tzle. On Local Optima in Multiobjective Combinatorial Optimization Problems. Annals of Operations Research, 156:83-98, 2007.
© Springer-Verlag 2007
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T. Schiavinotto and T. St├╝tzle. A Review of Metrics on Permutations for Search Space Analysis. Computers & Operations Research, 34(10):3143-3153, 2007.
© Elsevier 2007
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C. Molter, U. Salihoglu, and H. Bersini. The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. Neural Computation, 19(1):80-110, 2007.
© MIT Press 2007 – 10.1162/neco.2007.19.1.80
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E. Hart, H. Bersini, and F. C. Santos. How affinity influences tolerance in an idiotypic network. Journal of Theoretical Biology, 249(3):422-436, 2007.
© Elsevier 2007 – 0.1016/j.jtbi.2007.07.019
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R. Plasson, D. K. Kondepudi, H. Bersini, A. Commeyras, and K. Asakura. Emergence of homochirality in far-for-equilibrium systems: mechanisms and role in prebiotic chemistry. Chirality, 19(3):589-600, June 2007.
© Wiley 2007 – 10.1002/chir.20440
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W. C. G. van Staveren, D. Weiss Sol├şs, L. Delys, L. Duprez, G. Andry, B. Franc, G. Thomas, F. Libert, J. E. Dumont, V. Detours, and C. Maenhaut. Human thyroid tumor cell lines derived from different tumor types present a common dedifferentiated phenotype. Cancer Research, 67(17):8113-8120, September 2007.
URL Abstract
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V. Detours, L. Delys, F. Libert, D. Weiss Sol├şs, T. Bogdanova, J. E. Dumont, B. Franc, G. Thomas, and C. Maenhaut. Genome-wide gene expression profiling suggests distinct radiation susceptibilities in sporadic and post-Chernobyl papillary thyroid cancers. British Journal of Cancer, 97(6):818-825, September 2007.
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O. Korb, T. St├╝tzle, and T. E. Exner. An Ant Colony Optimization Approach to Flexible Protein-Ligand Docking. Swarm Intelligence, 1(2):115-134, 2007.
© Springer-Verlag 2007
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M. Chiarandini and T. St├╝tzle. Stochastic Local Search Algorithms for Graph Set $T$-Colouring and Frequency Assignment. Constraints, 12(3):371-403, 2007.
© Elsevier 2007
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L. Paquete and T. St├╝tzle. A Study of Stochastic Local Search Algorithms for the Biobjective QAP with Correlated Flow Matrices. European Journal of Operational Research, 169(3):943-959, 2006.
© Elsevier 2006
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T. St├╝tzle. Iterated Local Search for the Quadratic Assignment Problem. European Journal of Operational Research, 174(3):1519-1539, 2006.
© Elsevier 2006
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R. Gro├č, M. Bonani, F. Mondada, and M. Dorigo. Autonomous Self-Assembly in Swarm-Bots. IEEE Transactions on Robotics, 22(6):1115-1130, 2006.
© IEEE Robotics and Automation Society 2006 – http://dx.doi.org/10.1109/TRO.2006.882919
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M. López-Ibáñez, L. Paquete, and T. Stützle. Hybrid Population-based Algorithms for the Bi-objective Quadratic Assignment Problem. Journal of Mathematical Modelling and Algorithms, 5(1):111-137, 2006.
© Springer-Verlag 2006
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M. Chiarandini, M. Birattari, K. Socha, and O. Rossi-Doria. An effective hybrid approach for the university course timetabling problem. Journal of Scheduling, 9(5):403-432, 2006. Accepted for publication.
© Springer-Verlag 2006
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto. Hybrid metaheuristics for the vehicle routing problem with stochastic demands. Journal of Mathematical Modelling and Algorithms, 5(1):91-110, 2006.
© Springer-Verlag 2006
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V. Trianni and M. Dorigo. Self-Organisation and Communication in Groups of Simulated and Physical Robots. Biological Cybernetics, 95:213-231, 2006.
© Springer-Verlag 2006 – http://dx.doi.org/10.1007/s00422-006-0080-x
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E. Tuci, R. Gro├č, V. Trianni, F. Mondada, M. Bonani, and M. Dorigo. Cooperation Through Self-Assembly in Multi-Robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 1(2):115-150, 2006.
© ACM Press 2006
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V. Trianni, S. Nolfi, and M. Dorigo. Cooperative Hole Avoidance in a Swarm-Bot. Robotics and Autonomous Systems, 54(2):97-103, 2006.
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J. Handl, J. Knowles, and M. Dorigo. Ant-Based Clustering and Topographic Mapping. Artificial Life, 12(1):35-61, 2006.
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M. Dorigo, M. Birattari, and T. St├╝tzle. Ant Colony Optimization: Artificial Ants as a Computational Intelligence Technique. IEEE Computational Intelligence Magazine, 1(4):28-39, 2006.
© IEEE Computational Intelligence Society 2006 – http://dx.doi.org/10.1109/CI-M.2006.248054
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T. H. Labella, M. Dorigo, and J.-L. Deneubourg. Division of Labour in a Group of Robots Inspired by Ants' Foraging Behaviour. ACM Transactions on Autonomous and Adaptive Systems, 1(1):4-25, 2006.
© ACM Press 2006
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M. Birattari, M. Zlochin, and M. Dorigo. Towards a Theory of Practice in Metaheuristics Design: A Machine Learning Perspective. RAIRO - Theoretical Informatics and Applications, 40:353-369, 2006.
© EDP Sciences 2006 – http://dx.doi.org/10.1051/ita:2006009
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B. Ristic and P. Smets. The TBM global distance measure for the association of uncertain combat ID declarations. Information Fusion, 7(3):276-284, 2006.
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M. Dorigo, M. Birattari, and T. St├╝tzle. Ant Colony Optimization: Artificial ants as a computational intelligence technique. IEEE Computational Intelligence Magazine, 1(4):28-39, 2006.
© IEEE Computational Intelligence Society 2006
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H. Bersini, T. Lenaerts, and F. C. Santos. Growing Biological Networks: Beyond the Gene Duplication Model. Journal of Theoretical Biology, 241(3):488-505, 2006.
© Elsevier 2006 – 10.1016/j.jtbi.2005.12.012
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W. C. G. van Staveren, D. Weiss Sol├şs, L. Delys, D. Venet, M. Cappello, G. Andry, J. E. Dumont, F. Libert, V. Detours, and C. Maenhaut. Gene expression in human thyrocytes and autonomous adenomas reveals suppression of negative feedbacks in tumorigenesis. Proceedings of the National Academy of Sciences, 103(2):413-418, January 2006.
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H. H. Hoos and T. St├╝tzle. Schlagwort: Stochastische lokale Suche. K├╝nstliche Intelligenz, 1/05, 2005.
© Fachbereich 1 K├╝nstliche Intelligenz 2005
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G. Bontempi and M. Birattari. From linearization to lazy learning: A survey of divide-and-conquer techniques for nonlinear control. International Journal of Computational Cognition, 3(1):56-73, 2005.
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C. Blum and M. Dorigo. Search Bias in Ant Colony Optimization: On the Role of Competition-Balanced Systems. IEEE Transactions on Evolutionary Computation, 9(2):159-174, 2005. IEEE TEC Outstanding Paper Award (bestowed in 2007).
© IEEE Computational Intelligence Society 2005 – http://dx.doi.org/10.1109/TEVC.2004.841688
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F. Mondada, L. M. Gambardella, D. Floreano, S. Nolfi, J.-L. Deneubourg, and M. Dorigo. The Cooperation of Swarm-Bots: Physical Interactions in Collective Robotics. IEEE Robotics & Automation Magazine, 12(2):21-28, 2005.
© IEEE Robotics and Automation Society 2005 – http://dx.doi.org/10.1109/MRA.2005.1458313
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M. Dorigo and C. Blum. Ant Colony Optimization Theory: A Survey. Theoretical Computer Science, 344(2-3):243-278, 2005.
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D. Villacci, G. Bontempi, A. Vaccaro, and M. Birattari. The role of learning methods in the dynamic assessment of power components loading capability. IEEE Transactions on Industrial Electronics, 52(1):280-290, 2005.
© IEEE Vehicular Technology Society 2005
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M. Dorigo, E. Tuci, F. Mondada, S. Nolfi, J.-L. Deneubourg, D. Floreano, and L. M. Gambardella. The SWARM-BOTS Project. K├╝nstliche Intelligenz, 4/05:32-35, 2005.
© Fachbereich 1 K├╝nstliche Intelligenz 2005
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S. Nouyan, R. Ghizzioli, M. Birattari, and M. Dorigo. An Insect-Based Algorithm for the Dynamic Task Allocation Problem. K├╝nstliche Intelligenz, 4/05:25-31, 2005.
© Fachbereich 1 K├╝nstliche Intelligenz 2005
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P. Smets. Belief functions on real numbers. International Journal of Approximate Reasoning, 40(3):181-223, 2005.
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T. Schiavinotto and T. St├╝tzle. The Linear Ordering Problem: Instances, Search Space Analysis and Algorithms. Journal of Mathematical Modelling and Algorithms, 3(4):367-402, 2004.
© Springer-Verlag 2004
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M. Zlochin, M. Birattari, N. Meuleau, and M. Dorigo. Model-Based Search for Combinatorial Optimization: A Critical Survey. Annals of Operations Research, 131(1-4):373-395, 2004.
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F. Mondada, G. C. Pettinaro, A. Guignard, I. V. Kwee, D. Floreano, J.-L. Deneubourg, S. Nolfi, L. M. Gambardella, and M. Dorigo. Swarm-Bot: A New Distributed Robotic Concept. Autonomous Robots, 17(2-3):193-221, 2004.
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M. Dorigo, V. Trianni, E. Sahin, R. Gro├č, T. H. Labella, G. Baldassarre, S. Nolfi, J.-L. Deneubourg, F. Mondada, D. Floreano, and L. M. Gambardella. Evolving Self-Organizing Behaviors for a Swarm-Bot. Autonomous Robots, 17(2-3):223-245, 2004.
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M. Dorigo and E. Sahin. Guest Editorial. Special Issue: Swarm Robotics. Autonomous Robots, 17(2-3):111-113, 2004.
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C. Blum and M. Dorigo. The Hyper-Cube Framework for Ant Colony Optimization. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 34(2):1161-1172, 2004.
© IEEE Systems, Man, & Cybernetics Society 2004 – http://dx.doi.org/10.1109/TSMCB.2003.821450
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E. Tuci, V. Trianni, and M. Dorigo. ‘Feeling' the Flow of Time through Sensorymotor Co-ordination. Connection Science, 16(4):301-324, 2004.
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F. Delmotte and P. Smets. Target identification based on the transferable belief model interpretation of dempster-shafer model. IEEE Transactions on Systems, Man, and Cybernetics - Part A, 34(4):457-471, 2004.
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H. R. Louren├žo, O. Martin, and T. St├╝tzle. A Concise Introduction to Iterated Local Search. AIROnews, 8(3):11-14, 2003.
© Associazione Italiana di Ricerca Operativa 2003
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V. Detours, J. E. Dumont, H. Bersini, and C. Maenhaut. Integration and cross-validation of high-throughput gene expression data: comparing heterogeneous data sets. FEBS Letters, 546(1):98-102, July 2003.
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O. Cord├│n, F. Herrera, and T. St├╝tzle. Special issue on “Ant Colony Optimization”. 9(2-3):137-268, 2002.
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T. St├╝tzle and M. Dorigo. A Short Convergence Proof for a Class of ACO Algorithms. IEEE Transactions on Evolutionary Computation, 6(4):358-365, 2002.
© IEEE Computational Intelligence Society 2002 – http://dx.doi.org/10.1109/TEVC.2002.802444
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T. St├╝tzle and S. Linke. Experiments with Variants of Ant Algorithms. 9(2-3):193-207, 2002.
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O. Cord├│n, F. Herrera, and T. St├╝tzle. Guest Editorial -- Ant Colony Optimization: Models and Applications. 9(2-3):137-139, 2002.
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O. Cord├│n, F. Herrera, and T. St├╝tzle. A Review on the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. 9(2-3):141-175, 2002.
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M. Dorigo, L. M. Gambardella, M. Middendorf, and T. St├╝tzle. Guest Editorial: Special Section on Ant Colony Optimization. IEEE Transactions on Evolutionary Computation, 6(4):317-320, 2002.
© IEEE Computational Intelligence Society 2002 – http://dx.doi.org/10.1109/TEVC.2002.802446
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Data-driven techniques for direct adaptive control: The lazy and the fuzzy approaches. Fuzzy Sets and Systems, 128(1):3-14, 2002.
© Elsevier 2002
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N. Meuleau and M. Dorigo. Ant Colony Optimization and Stochastic Gradient Descent. Artificial Life, 8(2):103-121, 2002.
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P. Smets. The application of the matrix calculus to belief functions. International Journal of Approximate Reasoning, 31(1-2):1-30, 2002.
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H. Bersini and P. Sener. The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks. Neural Networks, 15(10):1197-1204, 2002.
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H. Bersini. The immune and the chemical crossover. IEEE Transactions on Evolutionary Computation, 6(3):306-313, 2002.
© IEEE Computational Intelligence Society 2002
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B. B. Yaghlane, P. Smets, and K. Mellouli. Belief function independence: II. The conditional case. International Journal of Approximate Reasoning, 31(1-2):31-75, 2002.
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T. St├╝tzle and H. H. Hoos. Ameisenalgorithmen zur L├Âsung kombinatorischer Optimierungsprobleme. K├╝nstliche Intelligenz, (1/01):45-51, 2001.
© Fachbereich 1 K├╝nstliche Intelligenz 2001
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G. Bontempi, H. Bersini, and M. Birattari. The local paradigm for modeling and control: From neuro-fuzzy to lazy learning. Fuzzy Sets and Systems, 121(1):59-72, 2001.
© Elsevier 2001
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D. Venet, F. Pecasse, C. Maenhaut, and H. Bersini. Separation of samples into their constituents using gene expression data. ISMB (Supplement of Bioinformatics), pages 279-287, 2001.
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Z. Elouedi, K. Mellouli, and P. Smets. Belief decision trees: theoretical foundations. International Journal of Approximate Reasoning, 28(2-3):91-124, 2001.
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D. Dubois, M. Grabisch, H. Prade, and P. Smets. Using the transferable belief model and a qualitative possibility theory approach on an illustrative example: The assessment of the value of a candidate. International Journal of Intelligent Systems, 16(11):1245-1272, 2001.
© Wiley Periodicals 2001
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R. M. Cooke and P. Smets. Self-Conditional Probabilities and Probabilistic Interpretations of Belief Functions. Annals of Mathematics and Artificial Intelligence, 32(1-4):269-285, 2001.
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H. H. Hoos and T. St├╝tzle. Local Search Algorithms for SAT: An Empirical Evaluation. Journal of Automated Reasoning, 24(4):421-481, 2000.
© Springer-Verlag 2000
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G. Bontempi, M. Birattari, and H. Bersini. A model selection approach for local learning. AI Communications, 13(1):41-47, 2000.
© IOS Press 2000
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E. Bonabeau, M. Dorigo, and G. Theraulaz. Inspiration for Optimization from Social Insect Behavior. Nature, 406:39-42, 2000.
© Nature Publishing Group 2000 – http://dx.doi.org/10.1038/35017500
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M. Dorigo, E. Bonabeau, and G. Theraulaz. Ant Algorithms and Stigmergy. Future Generation Computer Systems, 16(8):851-871, 2000.
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M. Dorigo, G. Di Caro, and T. St├╝tzle. Guest Editorial: Ant Algorithms. Future Generation Computer Systems, 16(8):v-vii, 2000.
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L. M. Gambardella and M. Dorigo. An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem. INFORMS Journal on Computing, 12(3):237-255, 2000.
© INFORMS 2000
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T. St├╝tzle and H. H. Hoos. $\cal MAX$-$\cal MIN$ Ant System. Future Generation Computer Systems, 16(8):889-914, 2000.
© Elsevier 2000
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S. Benferhat, A. Saffiotti, and P. Smets. Belief functions and default reasoning. Artificial Intelligence, 122(1-2):1-69, 2000.
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H. H. Hoos and T. St├╝tzle. Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artificial Intelligence, 112(1-2):213-232, 1999.
© Elsevier 1999
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G. Bontempi, M. Birattari, and H. Bersini. Lazy learning for local modeling and control design. International Journal of Control, 72(7/8):643-658, 1999.
© Taylor & Francis 1999
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L. M. Gambardella, ?. D. Taillard, and M. Dorigo. Ant Colonies for the Quadratic Assignment Problem. Journal of the Operational Research Society, 50(2):167-176, 1999.
© Palgrave Macmillan Journals 1999 – http://www.jstor.org/view/01605682/di011350/01p0207q/0
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M. Dorigo, G. Di Caro, and L. M. Gambardella. Ant Algorithms for Discrete Optimization. Artificial Life, 5(2):137-172, 1999.
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A. Colorni, M. Dorigo, and V. Maniezzo. Metaheuristics for High School Timetabling. Computational Optimization and Applications, 9(3):275-298, 1998.
© Springer-Verlag 1998 – http://dx.doi.org/10.1023/A:1018354324992
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G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, 9:317-365, 1998.
© AI Access Foundation 1998
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J. Urzelai, D. Floreano, M. Dorigo, and M. Colombetti. Incremental Robot Shaping. Connection Science, 10(3-4):341-360, 1998.
© Taylor & Francis 1998 – http://dx.doi.org/10.1080/095400998116486
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H. Bersini. The frustrated and compositional nature of chaos in small Hopfield networks. Neural Networks, 11(6):1017-1025, 1998.
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T. St├╝tzle. Lokale Suchverfahren f├╝r Constraint Satisfaction Probleme: Die it min-conflicts Heuristik und Tabu Search. K├╝nstliche Intelligenz, 1/97:8-14, 1997.
© Fachbereich 1 K├╝nstliche Intelligenz 1997
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P. V. C. Caironi and M. Dorigo. Training and Delayed Reinforcements in Q-learning Agents. International Journal of Intelligent Systems, 12(10):695-724, 1997.
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M. Dorigo and L. M. Gambardella. Ant Colonies for the Traveling Salesman Problem. BioSystems, 43:73-81, 1997.
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M. Dorigo and L. M. Gambardella. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation, 1(1):53-66, 1997.
© IEEE Computational Intelligence Society 1997 – http://dx.doi.org/10.1109/4235.585892
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M. Dorigo and M. Colombetti. Reply to Dario Floreano's “Engineering Adaptive Behavior”. Adaptive Behavior, 5(3-4):417-420, 1997.
© SAGE Publications 1997 – http://10.1177/105971239700500310
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P. Smets. The Normative Representation of Quantified Beliefs by Belief Functions. Artificial Intelligence, 92(1-2):229-242, 1997.
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M. Dorigo and M. Colombetti. Pr├ęcis of Robot Shaping: An Experiment in Behavior Engineering. Adaptive Behavior, 5(3-4):391-405, 1997.
© SAGE Publications 1997 – http://10.1177/105971239700500308
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M. Colombetti and M. Dorigo. Verso un'Ingegneria del Comportamento. Automazione Energia Informazione, 83(10):70-78, 1996.
© Associazione Elettrotecnica ed Elettronica Italiana 1996
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M. Dorigo, V. Maniezzo, and A. Colorni. Ant System: Optimization by a Colony of Cooperating Agents. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 26(1):29-41, 1996.
© IEEE Systems, Man, & Cybernetics Society 1996 – http://dx.doi.org/10.1109/3477.484436
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M. Colombetti, M. Dorigo, and G. Borghi. Behavior Analysis and Training: A Methodology for Behavior Engineering. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 26(3):365-380, 1996.
© IEEE Systems, Man, & Cybernetics Society 1996 – http://dx.doi.org/10.1109/3477.499789
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M. Dorigo. Introduction to the Special Issue on Learning Autonomous Robots. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 26(3):361-364, 1996.
© IEEE Systems, Man, & Cybernetics Society 1996
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A. Colorni, M. Dorigo, F. Maffioli, V. Maniezzo, G. Righini, and M. Trubian. Heuristics from Nature for Hard Combinatorial Problems. International Transactions in Operational Research, 3(1):1-21, 1996.
© Blackwell Publishing 1996 – http://dx.doi.org/10.1016/0969-6016(96)00004-4
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H. Xu and P. Smets. Reasoning in evidential networks with conditional belief functions. International Journal of Approximate Reasoning, 14(2-3):155-185, 1996.
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P. Smets and R. Kruse. The Transferable Belief Model for Belief Representation. Uncertainty Management in Information Systems, pages 343-368, 1996.
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V. Maniezzo, M. Dorigo, and A. Colorni. Algodesk: An Experimental Comparison of Eight Evolutionary Heuristics Applied to the Quadratic Assignment Problem. European Journal of Operational Research, 81:188-204, 1995.
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M. Dorigo. ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems. Machine Learning, 19(3):209-240, 1995.
© Springer-Verlag 1995 – http://dx.doi.org/10.1007/BF00996270
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M. J. Patel, M. Colombetti, and M. Dorigo. Evolutionary Learning for Intelligent Automation: A Case Study. Intelligent Automation and Soft Computing, 1(1):29-42, 1995.
© TSI Press 1995
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A. Colorni, M. Dorigo, V. Maniezzo, and M. Trubian. Ant System for Job-shop Scheduling. Belgian Journal of Operations Research, Statistics and Computer Science, 34(1):39-53, 1994.
© SOGESCI - B.V.W.B. 1994
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M. Dorigo, V. Maniezzo, and A. Colorni. Introduzione agli Algoritmi Naturali. Rivista di Informatica, 24(3):179-197, 1994.
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M. Dorigo and M. Colombetti. Robot Shaping: Developing Autonomous Agents Through Learning. Artificial Intelligence, 71(2):321-370, 1994.
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M. Colombetti and M. Dorigo. Training Agents to Perform Sequential Behavior. Adaptive Behavior, 2(3):247-275, 1994.
© SAGE Publications 1994 – http://10.1177/105971239400200302
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P. Smets and R. Kennes. The Transferable Belief Model. Artificial Intelligence, 66(2):191-234, 1994.
© Elsevier 1994
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P. Smets. Believing on the Basis of the Evidence: Answer to Kyburg's Paper. Computational Intelligence, 10:94-98, 1994.
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L. G. Sotelino, M. Saerens, and H. Bersini. Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks, 7(5):767-776, 1994.
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M. Dorigo. Gli Algoritmi Genetici, i Sistemi a Classificatori e il Problema dell'Animat. Sistemi Intelligenti, 3(93):401-434, 1993.
© Societ├á editrice il Mulino 1993
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M. Dorigo and U. Schnepf. Genetics-Based Machine Learning and Behaviour Based Robotics: A New Synthesis. IEEE Transactions on Systems, Man, and Cybernetics, 23(1):141-154, 1993.
© IEEE Systems, Man, & Cybernetics Society 1993 – http://dx.doi.org/10.1109/21.214773
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A. Bertoni and M. Dorigo. Implicit Parallelism in Genetic Algorithms. Artificial Intelligence, 61(2):307-314, 1993.
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M. Dorigo. Genetic and Non-Genetic Operators in ALECSYS. Evolutionary Computation, 1(2):151-164, 1993.
© MIT Press 1993
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P. Smets. Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem. International Journal of Approximate Reasoning, 9(1):1-35, 1993.
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H. T. Nguyen and P. Smets. On dynamics of cautious belief and conditional objects. International Journal of Approximate Reasoning, 8(2):89-104, 1993.
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M. Dorigo. Using Transputers to Increase Speed and Flexibility of Genetics-Based Machine Learning Systems. Microprocessing and Microprogramming (now Journal of Systems Architecture), 34:147-152, 1992.
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P. Smets. Resolving misunderstandings about belief functions. International Journal of Approximate Reasoning, 6(3):321-344, 1992.
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A. Colorni, M. Dorigo, and V. Maniezzo. Gli algoritmi Genetici e il Problema dell'Orario. Ricerca Operativa, 60:5-31, 1991.
© Associazione Italiana di Ricerca Operativa 1991
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P. Smets. Varieties of ignorance and the need for well-founded theories. Information Sciences, 57-58:135-144, 1991.
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P. Smets. The Combination of Evidence in the Transferable Belief Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(5):447-458, 1990.
© IEEE Computer Society Press 1990
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P. Magrez and P. Smets. Epistemic necessity, possibility, and truth. Tools for dealing with imprecision and uncertainty in fuzzy knowledge-based Epistemic necessity, possibility and truth. Tools for dealing with imprecision and uncertainty in fuzzy knowledge-based systems. International Journal of Approximate Reasoning, 3(1):35-57, 1989.
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P. Smets and P. Magrez. Implication in Fuzzy Logic. International Journal of Approximate Reasoning, 1(4):327-347, 1987.
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P. Smets. Information Content of an Evidence. International Journal of Man-Machine Studies, 19(1):33-43, 1983.
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P. Smets. The degree of belief in a fuzzy event. Information Sciences, 25(1):1-19, 1981.

Books

BibTeX
T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, and R. Doursat, editors. Special Issue for the 20th Anniversary of the European Conference on Artificial Life (ECAL 2011). Artificial Life, in press. MIT Press, Cambridge, MA, 2013.
© MIT Press 2013
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M. Dorigo, M. Birattari, C. Blum, A. Christensen, A. P. Engelbrecht, R. Gro├č, and T. St├╝tzle, editors. Swarm Intelligence - Proceedings of ANTS 2012 - Eighth International Conference, volume 7641 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2012.
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T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, and R. Doursat, editors. Advances in Artificial Life, ECAL 2011: 11th European Conference on the Synthesis and Simulation of Living Systems. MIT Press, Cambridge, MA, 2011.
© MIT Press 2011
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M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Gro├č, E. Sahin, H. Sayama, and T. St├╝tzle, editors. Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2010.
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G. R. Raidl, E. Alba, J. Bacardit, H.-G. Beyer, M. Birattari, C. Blum, P. A. N. Bosman, C. B. Congdon, D. Corne, C. Cotta, M. Di Penta, B. Doerr, R. Drechsle, M. Ebner, J. Grahl, T. Jansen, J. Knowles, T. Lenaerts, M. Middendorf, J. F. Miller, M. O'Neill, R. Poli, G. Squillero, K. O. Stanley, T. St├╝tzle, and J. van Hemert, editors. GECCO 2009: Genetic and Evolutionary Computation Conference. ACM Press, New York, NY, 2009.
© ACM Press 2009
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M. Birattari. Tuning Metaheuristics: A Machine Learning Perspective. Springer-Verlag, Berlin, Germany, 2009.
© Springer-Verlag 2009
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T. St├╝tzle, M. Birattari, and H. H. Hoos, editors. Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, 2nd International Workshop, SLS 2009, volume 5752 of LNCS. Springer-Verlag, Berlin, Germany, 2009.
© Springer-Verlag 2009
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K. F. Doerner, D. Merkle, and T. St├╝tzle, editors. Special issue on “Ant Colony Optimization”. Swarm Intelligence, 3(1):1-85. Springer, 2009.
© Springer 2009
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V. Maniezzo, T. St├╝tzle, and S. Vo├č, editors. Matheuristics--Hybridizing Metaheuristics and Mathematical Programming, volume 10 of Annals of Information Systems. Springer, New York, NY, 2009.
© Springer 2009
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T. St├╝tzle, editor. Learning and Intelligent Optimization, Third International Conference, LION 3, volume 5851 of Lecture Notes in Computer Science. Springer, Heidelberg, Germany, 2009.
© Springer 2009
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M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors. Ant Colony Optimization and Swarm Intelligence: 6th International Workshop, ANTS 2008, volume 5217 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, Germany, 2008.
© Springer-Verlag 2008 – http://dx.doi.org/10.1007/978-3-540-87527-7
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M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors. Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2008 - Sixth International Conference, volume 5217 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2008.
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D. Thierens, H.-G. Beyer, M. Birattari, J. Bongard, J. Branke, J. A. Clark, D. Cliff, C. B. Congdon, K. Deb, B. Doerr, T. Kovacs, S. Kumar, J. F. Miller, J. Moore, F. Neumann, M. Pelikan, R. Poli, K. Sastry, K. O. Stanley, T. St├╝tzle, R. Watson, and I. Wegener, editors. GECCO 2007: Genetic and Evolutionary Computation Conference. ACM Press, New York, NY, 2007.
© ACM Press 2007
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E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors. SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms. Number TR/IRIDIA/2007-018 in IRIDIA-Technical Report Series. IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
© IRIDIA, Universit├ę Libre de Bruxelles 2007
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T. St├╝tzle, M. Birattari, and H. H. Hoos, editors. Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, volume 4638 of LNCS. Springer-Verlag, Berlin, Germany, 2007.
© Springer-Verlag 2007
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M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors. Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2006.
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H. Bersini and J. Carneiro, editors. Artificial Immune Systems, 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings, volume 4163 of Lecture Notes in Computer Science. Springer-Verlag, Aachen, Germany, sfasfasf edition, aasfasfasfa 2006. Asfasf.
© Springer-Verlag 2006
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M. Birattari. The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective, volume 292 of DISKI. Infix, AKA/IOS Press, Berlin, Germany, 2005.
© Infix, AKA/IOS Press 2005
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H. H. Hoos and T. St├╝tzle. Stochastic Local Search--Foundations and Applications. Morgan Kaufmann Publishers, San Francisco, CA, 2004.
© Morgan Kaufmann Publishers 2004
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M. Dorigo and E. Sahin, editors. Special Issue on “Swarm Robotics”. Autonomous Robots, 17:111-246. Springer, 2004.
© Springer 2004
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M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. St├╝tzle, editors. Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2004 - Fourth International Workshop, volume 3172 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2004.
© Springer 2004 – http://dx.doi.org/10.1007/b99492
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M. Dorigo and T. St├╝tzle. Ant Colony Optimization. MIT Press, Cambridge, MA, 2004.
© MIT Press 2004
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M. Dorigo, G. Di Caro, and M. Sampels, editors. Ant Algorithms - Proceedings of ANTS 2002 - Third International Workshop, volume 2463 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2002.
© Springer 2002
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M. Dorigo, L. M. Gambardella, M. Middendorf, and T. St├╝tzle, editors. Special Section on “Ant Colony Optimization”. IEEE Transactions on Evolutionary Computation, 6(4):317-365. IEEE Press, 2002.
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M. Dorigo, T. St├╝tzle, and G. Di Caro, editors. Special Issue: “Ant Algorithms”. Future Generation Computer Systems, 16:851-956. Elsevier, 2000.
© Elsevier 2000
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T. St├╝tzle. Local Search Algorithms for Combinatorial Problems: Analysis, Improvements, and New Applications, volume 220 of DISKI. Infix Publishers, Sankt Augustin, Germany, 1999.
© Infix Publishers 1999
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D. Corne, M. Dorigo, and F. Glover, editors. New Ideas in Optimization. McGraw-Hill, London, UK, 1999.
© McGraw-Hill 1999
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E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York, 1999.
© Oxford University Press 1999
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M. Dorigo and M. Colombetti. Robot Shaping: An Experiment in Behavior Engineering. MIT Press, Cambridge, MA, 1998.
© MIT Press 1998
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J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors. Genetic Programming 1998: Proceedings of the Third Annual Conference. Morgan Kaufmann Publishers, San Francisco, CA, 1998.
© Morgan Kaufmann Publishers 1998 – http://dx.doi.org/10.1109/TEVC.1999.771172
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J. R. Koza, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, H. Iba, and R. Riolo, editors. Genetic Programming 1997: Proceedings of the Second Annual Conference. Morgan Kaufmann Publishers, San Francisco, CA, 1997.
© Morgan Kaufmann Publishers 1997
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M. Dorigo, editor. Special Issue on Learning Autonomous Robots. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 26:361-506. IEEE Press, 1996.
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B. D'Ambrosio and P. Smets, editors. AI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, July 13-15, 1991, University of California at Los Angeles, Los Angeles, CA, USA. Morgan Kaufmann Publishers, 1991.
© Morgan Kaufmann Publishers 1991

Book chapters

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C. Pinciroli, M. Bonani, F. Mondada, and M. Dorigo. Adaptation and Awareness in Robot Ensembles: Scenarios and Algorithms. In M. Wirsing, editor, Collective Autonomic Systems, volume LNCS 8998 of Lecture Notes in Computer Science, chapter IV.2, pages 471-494. Springer, 2015.
© Springer 2015 – 10.1007/978-3-319-16310-9_15
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D. Ipparthi, M. Mastrangeli, N. Bhalla, and M. Dorigo. Effects of Packing and Dynamics in a Self-Assembling System. In Parallel Problem Solving from Nature - PPSN XIII: 13th International Conference, Lecture Notes in Computer Science, page in press. Springer, Berlin, Germany, 2014.
© Springer 2014
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A. Reina, V. Trianni, and M. Dorigo. Towards a Cognitive Design Pattern for Collective Decision-Making. In Swarm Intelligence - Proceedings of ANTS 2014 - Ninth International Conference, volume 8667 of Lecture Notes in Computer Science, pages 193-204. Springer, Berlin, Germany, 2014.
© Springer 2014
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V. Trianni, E. Tuci, C. Ampatzis, and M. Dorigo. Evolutionary Swarm Robotics: A Theoretical and Methodological Itinerary from Individual Neurocontrollers to Collective Behaviors. In P. A. Vargas, E. A. Di Paolo, I. Harvey, and P. Husbands, editors, The Horizons of Evolutionary Robotics, pages 153-178. MIT Press, 2014.
© MIT Press 2014
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R. Gro├č, R. O'Grady, A. Christensen, and M. Dorigo. The Swarm-bot Experience: Strength and Mobility through Physical Cooperation. In S. Kernbach, editor, Handbook of Collective Robotics - Fundamentals and Challenges, pages 49-80. Pan Stanford Publishing, Singapore, 2013.
© Pan Stanford Publishing 2013 – http://dx.doi.org/9789814364119
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T. Stützle, M. López-Ibáñez, P. Pellegrini, M. Maur, M. Montes de Oca, M. Birattari, and M. Dorigo. Parameter Adaptation in Ant Colony Optimization. In Y. Hamadi, E. Monfroy, and F. Saubion, editors, Autonomous Search, pages 191-215. Springer, Berlin, Germany, 2012.
© Springer 2012
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R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Morphogenesis with Self-Assembling Robots. In R. Doursat, H. Sayama, and O. Michel, editors, Morphogenetic Engineering: Toward Programmable Complex Systems, NECSI Studies on Complexity, pages 27-60. Springer, Berlin, Germany, 2012.
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M. Dorigo and M. Birattari. Ant Colony Optimization. In C. Sammut and G. I. Webb, editors, Encyclopedia of Machine Learning, pages 37-40. Springer, 2011.
© Springer 2011
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M. Dorigo, M. Montes de Oca, S. Oliveira, and T. St├╝tzle. Ant Colony Optimization. In J. J. Cochran, editor, Wiley Encyclopedia of Operations Research and Management Science, pages 114-125. John Wiley & Sons, 2011.
© John Wiley & Sons 2011
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T. Stützle, M. López-Ibáñez, and M. Dorigo. A Concise Overview of Applications of Ant Colony Optimization. In J. J. Cochran, editor, Wiley Encyclopedia of Operations Research and Management Science, pages 896-911. John Wiley & Sons, 2011.
© John Wiley & Sons 2011
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C. Ampatzis, E. Tuci, V. Trianni, and M. Dorigo. Evolution of Signaling in a Multi-Robot System: Categorization and Communication. In S. Nolfi and M. Mirolli, editors, Evolution of Communication and Language in Embodied Agents, chapter 10, pages 161-178. Springer, Berlin, Germany, 2010.
© Springer 2010
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Z. Yuan, M. Montes de Oca, M. Birattari, and T. St├╝tzle. Modern continuous optimization algorithms for tuning real and integer algorithm parameters. In M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Gro├č, E. Sahin, H. Sayama, and T. St├╝tzle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of LNCS, pages 203-214. Springer-Verlag, Berlin, Germany, 2010.
© Springer-Verlag 2010
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P. Pellegrini, T. St├╝tzle, and M. Birattari. Off-line vs. on-line tuning: A study on MAX-MIN ant system for the TSP. In M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Gro├č, E. Sahin, H. Sayama, and T. St├╝tzle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of LNCS, pages 239-250. Springer-Verlag, Berlin, Germany, 2010.
© Springer-Verlag 2010
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Z. Yuan, T. St├╝tzle, and M. Birattari. MADS/F-Race: Mesh adaptive direct search meets F-Race. In N. Garc├şa-Pedrajas, H. Francisco, C. Fyfe, J. M. Ben├ştez, and M. Ali, editors, Trends in Applied Intelligent Systems, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, volume 6096 of LNAI, pages 41-50. Springer-Verlag, Berlin, Germany, 2010.
© Springer-Verlag 2010
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M. Dorigo and T. St├╝tzle. Ant Colony Optimization: Overview and Recent Advances. In M. Gendreau and J.-Y. Potvin, editors, Handbook of Metaheuristics, volume 146 of International Series in Operations Research & Management Science, chapter 8, pages 227-263. Springer, New York, 2010.
© Springer 2010
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M. L├│pez-Ib├í├▒ez and T. St├╝tzle. Automatic Configuration of Multi-Objective ACO Algorithms. In M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Gro├č, E. Sahin, H. Sayama, and T. St├╝tzle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of Lecture Notes in Computer Science, pages 94-105. Springer, Heidelberg, Germany, 2010.
© Springer 2010
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M. López-Ibáñez, T. Stützle, and L. Paquete. Graphical tools for the analysis of bi-objective optimization algorithms. In M. Pelikan et al., editors, Genetic and Evolutionary Computation Conference, GECCO 2010, Companion Material, pages 1959-1962. ACM Press, New York, NY, 2010.
© ACM Press 2010
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M. Maur, M. López-Ibáñez, and T. Stützle. Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. In H. Ishibuchi et al., editors, IEEE Congress on Evolutionary Computation (CEC 2010), pages 1-8. IEEE Press, Piscataway, NJ, 2010.
© IEEE Press 2010
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M. Chiarandini and T. St├╝tzle. An Analysis of Heuristics for Vertex Colouring on General Graphs. In P. Festa, editor, Experimental Algorithms 9th International Symposium, SEA 2010, volume 6049 of Lecture Notes in Computer Science, pages 326-337. Springer, Heidelberg, Germany, 2010.
© Springer 2010
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M. López-Ibáñez, L. Paquete, and T. Stützle. Exploratory Analysis of Stochastic Local Search Algorithms for Biobjective Problems Through Empirical Attainment Functions. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors, Empirical Methods for the Analysis of Optimization Algorithms. Springer, Berlin, Germany, 2010.
© Springer 2010
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L. Paquete and T. St├╝tzle. On the Performance of Local Search for the Biobjective Traveling Salesman Problem. In C. Coello Coello, C. Dhaenens, and L. Jourdan, editors, Advances in Multi-Objective Nature Inspired Computing, volume 272 of Studies in Computational Intelligence, pages 143-165. Springer, Berlin, Germany, 2010.
© Springer 2010
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H. R. Louren├žo, O. Martin, and T. St├╝tzle. Iterated Local Search: Framework and Applications. In M. Gendreau and J.-Y. Potvin, editors, Handbook of Metaheuristics, volume 146 of International Series in Operations Research & Management Science, chapter 9, pages 363-397. Springer, New York, NY, 2010.
© Springer 2010
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J. Dubois-Lacoste, M. L├│pez-Ib├í├▒ez, and T. St├╝tzle. Adaptive “Anytime” Two-Phase Local Search. In C. Blum and R. Battiti, editors, Learning and Intelligent Optimization, Fourth International Conference, LION 4, volume 6073 of Lecture Notes in Computer Science, pages 52├â┬ó├ó?┬Č├ó??-67. Springer, Heidelberg, Germany, 2010.
© Springer 2010
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M. Birattari, Z. Yuan, P. Balaprakash, and T. St├╝tzle. F-Race and Iterated F-Race: An Overview. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors, Experimental Methods for the Analysis of Optimization Algorithms, pages 311-336. Springer, Berlin, Germany, 2010.
© Springer 2010
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M. Gagliolo, C. Legrand, and M. Birattari. Mixed-effects modeling of optimisation algorithm performance. In T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, 2nd International Workshop, SLS 2009, pages 150-154. Springer-Verlag, Berlin, Germany, 2009.
© Springer-Verlag 2009
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M. Birattari, Z. Yuan, P. Balaprakash, and T. St├╝tzle. Automated Algorithm Tuning using F-races: Recent Developments. In M. Caserta and S. Vo├č, editors, Proceedings of MIC 2009, the 8th Metaheuristics International Conference, pages Proceedings on CD-ROM, 10 pages. University of Hamburg, Hamburg, Germany, 2009.
© University of Hamburg 2009
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M. López-Ibáñez and T. Stützle. An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. In P. Collet et al., editors, Artificial Evolution, 9th International Conference (EA'2009), volume 5975 of Lecture Notes in Computer Science, pages 134-145. Springer, Heidelberg, Germany, 2009.
© Springer 2009
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M. S. bin Hussin and T. St├╝tzle. Hierarchical Iterated Local Search for the Quadratic Assignment Problem. In M. J. Blesa, C. Blum, L. Di Gaspero, A. Roli, M. Sampels, and A. Schaerf, editors, Hybrid Metaheuristics6th International Workshop, HM 2009, volume 5818 of Lecture Notes in Computer Science, pages 115-129. Springer-Verlag, Heidelberg, Germany, 2009.
© Springer-Verlag 2009
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T. St├╝tzle. Ant Colony Optimization. In M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, editors, Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, volume 5467 of Lecture Notes in Computer Science, pages 698-705. Springer-Verlag, Heidelberg, Germany, 2009.
© Springer-Verlag 2009
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L. Paquete and T. St├╝tzle. Clusters of Non-dominated Solutions in Multiobjective Combinatorial Optimization: An Experimental Analysis. In V. Barichard, M. Ehrgott, X. Gandibleux, and V. T'kindt, editors, Multi-Objective Programming and Goal Programming -- Theoretical Results and Practical Applications, volume 618 of Lecture Notes in Economics and Mathematical Systems, pages 69-78. Springer-Verlag, Berlin, Germany, 2009.
© Springer-Verlag 2009
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F. Sambo, M. Montes de Oca, B. Di Camillo, and T. St├╝tzle. On the difficulty of inferring gene regulatory networks: A study of the fitness landscape generated by relative squared error. In P. Collet et al., editors, Artificial Evolution, 9th International Conference (EA'2009), volume 5975 of Lecture Notes in Computer Science, pages 74-85. Springer, Heidelberg, Germany, 2009.
© Springer 2009
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I. Dumitrescu and T. St├╝tzle. Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms. In V. Maniezzo, T. St├╝tzle, and S. Vo├č, editors, Matheuristics--Hybridizing Metaheuristics and Mathematical Programming, volume 10 of Annals of Information Systems, pages 103-134. Springer, New York, NY, 2009.
© Springer 2009
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J. Dubois-Lacoste, M. López-Ibáñez, and T. Stützle. Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. In M. J. Blesa, C. Blum, L. Di Gaspero, A. Roli, M. Sampels, and A. Schaerf, editors, Hybrid Metaheuristics6th International Workshop, HM 2009, volume 5818 of Lecture Notes in Computer Science, pages 100-114. Springer-Verlag, Heidelberg, Germany, 2009.
© Springer-Verlag 2009
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G. Pini, A. Brutschy, M. Birattari, and M. Dorigo. Task partitioning in swarms of robots: reducing performance losses due to interference at shared resources. In J. A. Cetto, J. Filipe, and J.-L. Ferrier, editors, Informatics in Control, Automation and Robotics, volume 85-Part 3 of LNEE, pages 217-228. Springer, Berlin, Germany, 2009.
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M. Montes de Oca and T. St├╝tzle. Towards Incremental Social Learning in Optimization and Multiagent Systems. In W. Rand, S. G. Ficici, and R. Riolo, editors, Proceedings of the Evolutionary Computation and Multi-Agent Systems and Simulation Workshop (ECoMASS) of GECCO 2008, pages 1939-1944. ACM Press, 2008.
© ACM Press 2008
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V. Trianni, S. Nolfi, and M. Dorigo. Evolution, Self-organization and Swarm Robotics. In C. Blum and D. Merkle, editors, Swarm Intelligence: Introduction and Applications, Natural Computing Series, chapter 5, pages 43-85. Springer, Amsterdam, The Netherlands, 2008.
© Springer 2008
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M. Montes de Oca, K. Van den Enden, and T. St├╝tzle. Incremental Particle Swarm-Guided Local Search for Continuous Optimization. In M. J. Blesa, editor, Hybrid Metaheuristics, 5th International Workshop, HM 2008, Proceedings, volume 5296 of Lecture Notes in Computer Science, pages 72-86. Springer-Verlag, Berlin, Germany, 2008.
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P. Balaprakash, M. Birattari, and T. St├╝tzle. Engineering stochastic local search algorithms: A case study in estimation-based local search for the probabilistic travelling salesman problem. In C. Cotta and J. van Hemert, editors, Recent Advances in Evolutionary Computation for Combinatorial Optimization, volume 153 of Studies in Computational Intelligence, pages 53-66. Springer-Verlag, Berlin, Germany, 2008.
© Springer-Verlag 2008
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R. Lenne, C. Solnon, T. St├╝tzle, E. Tannier, and M. Birattari. Reactive stochastic local search algorithms for the genomic median problem. In J. van Hemert and C. Cotta, editors, Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, volume 4972 of LNCS, pages 266-276. Springer-Verlag, Berlin, Germany, 2008.
© Springer-Verlag 2008
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M. Montes de Oca and T. St├╝tzle. Convergence Behavior of the Fully informed Particle Swarm Optimization Algorithm. In M. Keijzer et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2008, pages 71-78. ACM Press, 2008.
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Z. Yuan, A. Fügenschuh, H. Homfeld, P. Balaprakash, T. Stützle, and M. Schoch. Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem. In M. J. Blesa, C. Blum, C. Cotta, A. J. Fernández, J. E. Gallardo, A. Roli, and M. Sampels, editors, Hybrid Metaheuristics, 5th International Workshop, HM 2008, volume 5296 of Lecture Notes in Computer Science, pages 102-116. Springer-Verlag, Heidelberg, Germany, 2008.
© Springer-Verlag 2008
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M. Chiarandini, I. Dumitrescu, and T. St├╝tzle. Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems. In C. Blum, M. J. Blesa, A. Roli, and M. Sampels, editors, Hybrid Metaheuristics--An Emergent Approach to Optimization, volume 117 of Studies in Computational Intelligence, pages 117-150. Springer-Verlag, Berlin, Germany, 2008.
© Springer-Verlag 2008
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M. Dorigo and K. Socha. Ant Colony Optimization. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, pages 26.1-26.14. Chapman & Hall/CRC, Boca Raton, FL, 2007.
© Chapman & Hall/CRC 2007
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P. Balaprakash, M. Birattari, and T. St├╝tzle. Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement. In Hybrid Metaheuristics, 4th International Workshop, HM 2007, volume 4771 of LNCS, pages 108-122. Springer-Verlag, Berlin, Germany, 2007.
© Springer-Verlag 2007
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P. Pellegrini and M. Birattari. Implementation effort and performance: A comparison of custom and out-of-the-box metaheuristics on the vehicle routing problem with stochastic demand. In T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, volume 4638 of LNCS, pages 31-45. Springer-Verlag, Berlin, Germany, 2007.
© Springer-Verlag 2007
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L. Paquete, T. Stützle, and M. López-Ibáñez. Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems. In K. F. Doerner, M. Gendreau, P. Greistorfer, W. J. Gutjahr, R. F. Hartl, and M. Reimann, editors, Metaheuristics -- Progress in Complex Systems Optimization, volume 39 of Operations Research/Computer Science Interface Series, pages 325-344. Springer-Verlag, New York, NY, 2007.
© Springer-Verlag 2007
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F. Hutter, H. H. Hoos, and T. St├╝tzle. Automatic Algorithm Configuration based on Local Search. In R. C. Holte and A. Howe, editors, Proceedings of the 22nd Conference on Artificial Intelligence (AAAI), pages 1152-1157. AAAI Press, 2007.
© AAAI Press 2007
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M. Chiarandini, I. Dumitrescu, and T. St├╝tzle. Stochastic Local Search Algorithms for the Graph Coloring Problem. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, Computer and Information Science Series, pages 63-1--63-17. Chapman & Hall/CRC, Boca Raton, FL, 2007.
© Chapman & Hall/CRC 2007
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L. Paquete and T. St├╝tzle. Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, Computer and Information Science Series, pages 29-1--29-15. Chapman & Hall/CRC, Boca Raton, FL, 2007.
© Chapman & Hall/CRC 2007
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H. H. Hoos and T. St├╝tzle. Stochastic Local Search. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, Computer and Information Science Series, pages 19-1--19-13. Chapman & Hall/CRC, Boca Raton, FL, 2007.
© Chapman & Hall/CRC 2007
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H. H. Hoos and T. St├╝tzle. Empirical Analysis of Randomized Algorithms. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, Computer and Information Science Series, pages 14-1--14-17. Chapman & Hall/CRC, Boca Raton, FL, 2007.
© Chapman & Hall/CRC 2007
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M. Dorigo, E. Tuci, V. Trianni, R. Gro├č, S. Nouyan, C. Ampatzis, T. H. Labella, R. O'Grady, M. Bonani, and F. Mondada. SWARM-BOT: Design and Implementation of Colonies of Self-assembling Robots. In G. Y. Yen and D. B. Fogel, editors, Computational Intelligence: Principles and Practice, chapter 6, pages 103-135. IEEE Computational Intelligence Society, New York, 2006.
© IEEE Computational Intelligence Society 2006
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C. Philemotte and H. Bersini. How an optimal observer can collapse the search space. In M. Cattolico, editor, Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006, pages 1273-1280. ACM Press, 2006.
© ACM Press 2006
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E. Hart, H. Bersini, and F. C. Santos. Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network. In H. Bersini and J. Carneiro, editors, Artificial Immune Systems, 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings, volume 4163 of Lecture Notes in Computer Science, pages 109-121. Springer-Verlag, 2006.
© Springer-Verlag 2006
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H. Bersini. Immune System Modeling: The OO Way. In H. Bersini and J. Carneiro, editors, Artificial Immune Systems, 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings, volume 4163 of Lecture Notes in Computer Science, pages 150-163. Springer-Verlag, 2006.
© Springer-Verlag 2006
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J. Sabino, T. St├╝tzle, M. Birattari, and J. E. Leal. Ant Colony Optimization Applied to Switch Engine Scheduling in a Railroad Yard. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, volume 4150 of LNCS, pages 502-503. Springer-Verlag, Berlin, Germany, 2006.
© Springer-Verlag 2006
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W. Wiesemann and T. St├╝tzle. Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, volume 4150 of Lecture Notes in Computer Science, pages 179-190. Springer-Verlag, Heidelberg, Germany, 2006.
© Springer-Verlag 2006
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M. Chiarandini, T. St├╝tzle, and K. S. Larsen. Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem. In F. Almeida, M. J. Blesa, C. Blum, J. M. Moreno, M. Perez, A. Roli, and M. Sampels, editors, Hybrid Metaheuristics, volume 4030 of Lecture Notes in Computer Science, pages 162-177. Springer-Verlag, Heidelberg, Germany, 2006.
© Springer-Verlag 2006
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O. Korb, T. St├╝tzle, and T. E. Exner. PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, volume 4150 of Lecture Notes in Computer Science, pages 247-258. Springer-Verlag, Heidelberg, Germany, 2006.
© Springer-Verlag 2006
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J. Gimmler, T. St├╝tzle, and T. E. Exner. Hybrid Particle Swarm Optimization: An Examination of the Influence of Iterative Improvement Algorithms on Performance. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, volume 4150 of Lecture Notes in Computer Science, pages 436-443. Springer-Verlag, Heidelberg, Germany, 2006.
© Springer-Verlag 2006
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C. Philemotte and H. Bersini. Intrinsic emergence boosts adaptive capacity. In H.-G. Beyer and U.-M. O'Reilly, editors, Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005, pages 559-560. ACM Press, 2005.
© ACM Press 2005
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H. Bersini, T. Lenaerts, and F. C. Santos. Growing Biochemical Networks: Identifying the Intrinsic Properties. In M. S. Capcarrere, A. A. Freitas, P. J. Bentley, C. G. Johnson, and J. Timmis, editors, Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings, volume 3630 of Lecture Notes in Computer Science. Springer-Verlag, 2005.
© Springer-Verlag 2005
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H. Bersini. Why the First Glass of Wine Is Better Than the Seventh. In ICARIS, pages 100-111. IEEE Computer Society Press, 2005.
© IEEE Computer Society Press 2005
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P. Vannoorenberghe and P. Smets. Partially Supervised Learning by a Credal EM Approach. In L. Godo, editor, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 8th European Conference, ECSQARU 2005, Barcelona, Spain, July 6-8, 2005, Proceedings, volume 3571 of Lecture Notes in Computer Science. Springer-Verlag, 2005.
© Springer-Verlag 2005
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G. Bontempi, M. Birattari, and P. E. Meyer. Combining lazy learning, racing and subsampling for effective feature selection. In B. Ribeiro, R. F. Albrecht, A. Dobnikar, D. W. Pearson, and N. C. Steele, editors, 7th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA, pages 393-396. Springer-Verlag, Vienna, Austria, 2005.
© Springer-Verlag 2005
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S. Becker, J. Gottlieb, and T. St├╝tzle. Applications of Racing Algorithms: An Industrial Perspective. In E.-G. Talbi, P. Liardet, P. Collet, E. Lutton, and M. Schoenauer, editors, Artificial Evolution: 7th International Conference, Evolution Artificielle, EA 2005, volume 3871 of Lecture Notes in Computer Science, pages 271-283. Springer-Verlag, Heidelberg, Germany, 2005.
© Springer-Verlag 2005
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M. Birattari, P. Balaprakash, and M. Dorigo. ACO/F-Race: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty. In K. F. Doerner, M. Gendreau, P. Greistorfer, W. J. Gutjahr, R. F. Hartl, and M. Reimann, editors, MIC 2005: The 6th Metaheuristics International Conference, pages 107-112. Department of Business Administration, University of Vienna, Vienna, Austria, 2005.
© Department of Business Administration, University of Vienna 2005
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto. Metaheuristics for the Vehicle Routing Problem with Stochastic Demands. In X. Yao, E. Burke, J. A. Lozano, J. Q. Smith, J. J. Merelo-Guervós, J. A. Bullinaria, J. Rowe, P. Tiño, A. Kabán, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature, 8th International Conference, PPSN VIII, volume 3242 of LNCS, pages 450-460. Springer-Verlag, Berlin, Germany, 2004.
© Springer-Verlag 2004
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H. Bersini. Revisiting Idiotypic Immune Networks. In W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler, editors, Advances in Artificial Life, 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003, Proceedings, volume 2801 of Lecture Notes in Computer Science, pages 164-174. Springer-Verlag, 2003.
© Springer-Verlag 2003
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C. Molter and H. Bersini. Fascinating Rhythmus by Chaotic Hopfield Networks. In W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler, editors, Advances in Artificial Life, 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003, Proceedings, volume 2801 of Lecture Notes in Computer Science, pages 191-198. Springer-Verlag, 2003.
© Springer-Verlag 2003
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B. B. Yaghlane, P. Smets, and K. Mellouli. Directed Evidential Networks with Conditional Belief Functions. In T. D. Nielsen and N. L. Zhang, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2-5, 2003. Proceedings, volume 2711 of Lecture Notes in Computer Science, pages 291-305. Springer-Verlag, 2003.
© Springer-Verlag 2003
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H. R. Louren├žo, O. Martin, and T. St├╝tzle. Iterated Local Search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, pages 321-353. Kluwer Academic Publishers, Norwell, MA, 2002.
© Kluwer Academic Publishers 2002
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M. Dorigo and T. St├╝tzle. The Ant Colony Optimization Metaheuristic: Algorithms, Applications and Advances. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, chapter 9, pages 251-285. Kluwer Academic Publishers, Boston, MA, 2002.
© Kluwer Academic Publishers 2002 – http://dx.doi.org/10.1007/0-306-48056-5_9
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M. Birattari, T. St├╝tzle, L. Paquete, and K. Varrentrapp. A Racing Algorithm for Configuring Metaheuristics. In W. B. Langdon, E. Cant├║-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska, editors, Proceedings of the Genetic and Evolutionary Computation Conference, pages 11-18. Morgan Kaufmann Publishers, San Francisco, CA, 2002.
© Morgan Kaufmann Publishers 2002
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C. Piscopo and M. Birattari. Invention vs. Discovery. A critical discussion. In S. Lange, K. Satoh, and C. H. Smith, editors, Discovery Science. 5th International Conference, DS2002, volume 2534 of LNCS, pages 457-462. Springer-Verlag, Berlin, Germany, 2002.
© Springer-Verlag 2002
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T. St├╝tzle and H. H. Hoos. Analysing the Run-time Behaviour of Iterated Local Search for the Travelling Salesman Problem. In P. Hansen and C. Ribeiro, editors, Essays and Surveys on Metaheuristics, Operations Research/Computer Science Interfaces Series, pages 589-611. Kluwer Academic Publishers, Boston, MA, 2001.
© Kluwer Academic Publishers 2001
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G. Bontempi, M. Birattari, and H. Bersini. Lazy Learning: A local method for supervised learning. In L. C. Jain and J. Kacprzyk, editors, New Learning Paradigms in Soft Computing, pages 97-137. Springer-Verlag, Heidelberg, Germany, 2001.
© Springer-Verlag 2001
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D. Dubois, H. Prade, and P. Smets. ”Not Impossible” vs. ”Guaranteed Possible” in Fusion and Revision. In Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001, Proceedings, Lecture Notes in Computer Science, pages 522-531. Springer-Verlag, 2001.
© Springer-Verlag 2001
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B. B. Yaghlane, P. Smets, and K. Mellouli. About Conditional Belief Function Independence. In S. Benferhat and P. Besnard, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001, Proceedings, volume 2143 of Lecture Notes in Computer Science, pages 340-349. Springer-Verlag, 2001.
© Springer-Verlag 2001
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Z. Elouedi, K. Mellouli, and P. Smets. The Evaluation of Sensors' Reliability and Their Tuning for Multisensor Data Fusion within the Transferable Belief Model. In S. Benferhat and P. Besnard, editors, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001, Proceedings, Lecture Notes in Computer Science, pages 350-361. Springer-Verlag, 2001.
© Springer-Verlag 2001
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H. H. Hoos and T. St├╝tzle. Local Search Algorithms for SAT: An Empirical Evaluation. In I. Gent, H. van Maaren, and T. Walsh, editors, SAT2000, volume 63 of Frontiers in Artificial Intelligence and Applications, pages 43-88. IOS Press, Amsterdam, The Netherlands, 2000.
© IOS Press 2000
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H. H. Hoos and T. St├╝tzle. SATLIB: An Online Resource for Research on SAT. In I. Gent, H. van Maaren, and T. Walsh, editors, SAT2000, volume 63 of Frontiers in Artificial Intelligence and Applications, pages 283-292. IOS Press, 2000.
© IOS Press 2000
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J. H. Holland, L. B. Booker, M. Colombetti, M. Dorigo, D. E. Goldberg, S. Forrest, R. Riolo, R. Smith, P. L. Lanzi, W. Stolzmann, and S. W. Wilson. What is a Learning Classifier System? In P. L. Lanzi, W. Stolzmann, and S. W. Wilson, editors, Learning Classifier Systems: From Foundations to Applications, volume 1813 of Lecture Notes in Artificial Intelligence, pages 3-32. Springer, Berlin, Germany, 2000.
© Springer 2000
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Data-Driven Techniques for Divide and Conquer Adaptive Control. In V. Zakharov, editor, Control Applications of Optimization. Proceedings of the 11th IFAC International Workshop, CAO 2000, pages 70-75. Pergamon Press/Elsevier, Oxford, UK, 2000.
© Pergamon Press/Elsevier 2000
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Multiple models for adaptive control: The lazy and the fuzzy approach. In R. Smith, editor, System Identification. A Proceedings volume from the 12th IFAC Symposium on System Identification. SYSID 2000. Pergamon Press/Elsevier, Oxford, UK, 2000.
© Pergamon Press/Elsevier 2000
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H. Bersini. Chemical Crossover. In L. D. Whitley, D. E. Goldberg, E. Cant├║-Paz, L. Spector, I. C. Parmee, and H.-G. Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000, pages 825-832. Morgan Kaufmann Publishers, 2000.
© Morgan Kaufmann Publishers 2000
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G. Seront and H. Bersini. A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering. In L. D. Whitley, D. E. Goldberg, E. Cant├║-Paz, L. Spector, I. C. Parmee, and H.-G. Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000, pages 90-95. Morgan Kaufmann Publishers, 2000.
© Morgan Kaufmann Publishers 2000
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G. Bontempi and M. Birattari. A multi-step-ahead prediction method based on local dynamic properties. In M. Verleysen, editor, 8th European Symposium on Artificial Neural Networks, ESANN 2000, pages 311-316. D-Facto Publications, Brussels, Belgium, 2000.
© D-Facto Publications 2000
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G. Bontempi, E. Bertolissi, and M. Birattari. Predicting stock markets in boundary conditions with local models. In J. Birge, J. Marshall, and R. R. Yager, editors, Proceedings of the IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering, CIFEr 2000, pages 158-161. IEEE Press, Piscataway, NJ, 2000.
© IEEE Press 2000
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T. St├╝tzle and H. H. Hoos. $\cal MAX$-$\cal MIN$ Ant System and Local Search for Combinatorial Optimization Problems. In S. Voss, S. Martello, I. H. Osman, and C. Roucairol, editors, Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, pages 137-154. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1999.
© Kluwer Academic Publishers 1999
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M. Dorigo and G. Di Caro. The Ant Colony Optimization Meta-Heuristic. In D. Corne, M. Dorigo, and F. Glover, editors, New Ideas in Optimization, chapter 2, pages 11-32. McGraw-Hill, London, UK, 1999.
© McGraw-Hill 1999
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T. St├╝tzle and M. Dorigo. ACO Algorithms for the Quadratic Assignment Problem. In D. Corne, M. Dorigo, and F. Glover, editors, New Ideas in Optimization, chapter 3, pages 33-50. McGraw-Hill, London, UK, 1999.
© McGraw-Hill 1999
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D. Corne, M. Dorigo, and F. Glover. Introduction to the Book “New Ideas in Optimization”. In D. Corne, M. Dorigo, and F. Glover, editors, New Ideas in Optimization, chapter 1, pages 1-8. McGraw-Hill, London, UK, 1999.
© McGraw-Hill 1999
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M. Colombetti and M. Dorigo. Evolutionary Computation in Behavior Engineering. In X. Yao, editor, Evolutionary Computation: Theory and Applications, chapter 2, pages 37-80. World Scientific, Singapore, 1999.
© World Scientific 1999
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T. St├╝tzle and M. Dorigo. ACO Algorithms for the Traveling Salesman Problem. In K. Miettinen, P. Neittaanm├Ąki, M. M. M├Ąkel├Ą, and J. P├ęriaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 9, pages 163-183. John Wiley & Sons, Chichester, UK, 1999.
© John Wiley & Sons 1999
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H. Bersini. Design Patterns for an Object-Oriented Computational Chemistry. In D. Floreano, J.-D. Nicoud, and F. Mondada, editors, Advances in Artificial Life, 5th European Conference, ECAL'99, Lausanne, Switzerland, September 13-17, 1999, Proceedings, volume 1674 of Lecture Notes in Computer Science, pages 389-398. Springer-Verlag, 1999.
© Springer-Verlag 1999
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D. Dubois, M. Grabisch, H. Prade, and P. Smets. Assessing the value of a candidate: Comparing belief function and and possibility theories. In K. B. Laskey and H. Prade, editors, UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30-August 1, 1999, pages 170-177. Morgan Kaufmann Publishers, 1999.
© Morgan Kaufmann Publishers 1999
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P. Smets. Practical Uses of Belief Functions. In K. B. Laskey and H. Prade, editors, UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30-August 1, 1999, pages 612-621. Morgan Kaufmann Publishers, 1999.
© Morgan Kaufmann Publishers 1999
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G. Bontempi and M. Birattari. A bound on the cross-validation estimate for algorithm assessment. In E. Postma and M. Gyssens, editors, Proceedings of the 11th Belgium-Netherlands Conference on Artificial Intelligence, BNAIC'99, pages 115-122. BNVKI, Maastricht, The Netherlands, 1999.
© BNVKI 1999
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G. Bontempi, M. Birattari, and H. Bersini. Lazy learners at work: The lazy learning toolbox. In EUFIT'99: The 7th European Congress on Intelligent Techniques and Soft Computing, Abstract Booklet with CD Rom. Elite Foundation, Aachen, Germany, 1999.
© Elite Foundation 1999
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G. Bontempi, M. Birattari, and H. Bersini. Local learning for iterated time-series prediction. In I. Bradko and S. Dzeroski, editors, Proceedings of the Sixteenth International Conference on Machine Learning, pages 32-38. Morgan Kaufmann Publishers, San Francisco, CA, 1999.
© Morgan Kaufmann Publishers 1999
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M. Birattari, G. Bontempi, and H. Bersini. Lazy learning meets the recursive least-squares algorithm. In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in Neural Information Processing Systems 11, pages 375-381. MIT Press, Cambridge, MA, 1999.
© MIT Press 1999
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M. Birattari, G. Bontempi, and H. Bersini. Lazy Learning Meets the Recursive Least Squares Algorithm. In Advances in Neural Information Processing Systems 11, NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998, pages 375-381. MIT Press, 1998.
© MIT Press 1998
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H. Bersini, G. Bontempi, and M. Birattari. Is readability compatible with accuracy? From neuro-fuzzy to lazy learning. In W. Brauer, editor, Fuzzy-Neuro Systems'98. Computational Intelligence: Proceedings of the 5th International Workshop on Fuzzy-Neuro Systems, pages 10-25. IOS Press, Amsterdam, The Netherlands, 1998.
© IOS Press 1998
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G. Bontempi, M. Birattari, and H. Bersini. Lazy learning for control design. In M. Verleysen, editor, 6th European Symposium on Artificial Neural Networks, ESANN 1998, pages 73-78. D-Facto Publications, Brussels, Belgium, 1998.
© D-Facto Publications 1998
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H. Bersini, M. Birattari, and G. Bontempi. Adaptive memory based regression methods. In IJCNN'98: Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 2102-2106. IEEE Press, Piscataway, NJ, 1998.
© IEEE Press 1998
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G. Bontempi, M. Birattari, and H. Bersini. Lazy learning for iterated time-series prediction. In J. A. K. Suykens and J. Vandewalle, editors, International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling, pages 62-68. Katholieke Universiteit Leuven, Leuven, Belgium, 1998.
© Katholieke Universiteit Leuven 1998
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G. Bontempi, M. Birattari, and H. Bersini. Local learning for nonlinear control. In H. J. C. Huiberts and H. Nijmeijer, editors, NOLCOS'98: Nonlinear Control Systems Design Symposium, pages 360-365. University of Twente, Enschede, The Netherlands, 1998.
© University of Twente 1998
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G. Bontempi, M. Birattari, and H. Bersini. Recursive lazy learning for modeling and control. In C. N├ędellec and C. Rouveirol, editors, Machine Learning: ECML'98. 10th European Conference on Machine Learning, volume 1398 of LNCS, pages 292-303. Springer-Verlag, Berlin, Germany, 1998.
© Springer-Verlag 1998
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G. Bontempi, M. Birattari, and H. Bersini. Local learning for data analysis. In F. Verdenius and W. van den Broek, editors, Proceedings of the 8th Belgian-Dutch Conference on Machine Learning, Benelearn'98, pages 62-68. ATO-DLO, Wageningen, The Netherlands, 1998.
© ATO-DLO 1998
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N. Chatenet and H. Bersini. Economical Reinforcement Learning for Non Stationary Problems. In W. Gerstner, A. Germond, M. Hasler, and J.-D. Nicoud, editors, Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings, volume 1327 of Lecture Notes in Computer Science, pages 283-288. Springer-Verlag, 1997.
© Springer-Verlag 1997
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N. Bradshaw, A. Duchâteau, and H. Bersini. Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts. In W. Gerstner, A. Germond, M. Hasler, and J.-D. Nicoud, editors, Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings, volume 1327 of Lecture Notes in Computer Science, pages 295-300. Springer-Verlag, 1997.
© Springer-Verlag 1997
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P. Smets. The alpha-junctions: Combination Operators Applicable to Belief Functions. In D. M. Gabbay, R. Kruse, A. Nonnengart, and H. J. Ohlbach, editors, Qualitative and Quantitative Practical Reasoning, First International Joint Conference on Qualitative and Quantitative Practical Reasoning ECSQARU-FAPR'97, Bad Honnef, Germany,June 9-12, 1997, Proceedings, volume 1244 of Lecture Notes in Computer Science, pages 131-153. Springer-Verlag, 1997.
© Springer-Verlag 1997
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S. Benferhat, A. Saffiotti, and P. Smets. Belief functions and default reasoning. In P. Besnard and S. Hanks, editors, UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, August 18-20, 1995, Montreal, Quebec, Canada, pages 19-26. Morgan Kaufmann Publishers, 1995.
© Morgan Kaufmann Publishers 1995
BibTeX
H. Xu and P. Smets. Generating Explanations for Evidential Reasoning. In P. Besnard and S. Hanks, editors, UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, August 18-20, 1995, Montreal, Quebec, Canada, pages 574-581. Morgan Kaufmann Publishers, 1995.
© Morgan Kaufmann Publishers 1995
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P. Smets. Non-Standard Probabilistic and Non Probabilistic Representations of Uncertainty. In B. Bouchon-Meunier, R. R. Yager, and L. A. Zadeh, editors, Advances in Intelligent Computing - IPMU'94, 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994, Selected Papers, volume 945 of Lecture Notes in Computer Science, pages 13-38. Springer-Verlag, 1995.
© Springer-Verlag 1995
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A. Colorni, M. Dorigo, and V. Maniezzo. Gli Algoritmi Naturali come Strumento di Ottimizzazione. In G. Di Pillo, editor, Metodi di Ottimizzazione per le Decisioni, pages 41-64. Masson, Milan, Italy, 1994.
© Masson 1994
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S. Langerman, G. Seront, and H. Bersini. S.T.E.P.: The Easiest Way to Optimize a Function. In Proceedings of the First IEEE Conference on Evolutionary Computation, pages 519-524. IEEE Press, 1994.
© IEEE Press 1994
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H. Bersini and J.-M. Renders. Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. In Proceedings of the First IEEE Conference on Evolutionary Computation, pages 312-317. IEEE Press, 1994.
© IEEE Press 1994
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P. Smets. Belief Induced by the Partial Knowledge of the Probabilities. In R. L. d. Mantaras and D. Poole, editors, UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, July 29-31, 1994, Seattle, Washington, USA, pages 523-530. Morgan Kaufmann Publishers, 1994.
© Morgan Kaufmann Publishers 1994
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H. Xu and P. Smets. Evidential Reasoning with Conditional Belief Functions. In R. L. d. Mantaras and D. Poole, editors, UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, July 29-31, 1994, Seattle, Washington, USA, pages 598-605. Morgan Kaufmann Publishers, 1994.
© Morgan Kaufmann Publishers 1994
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M. Dorigo and V. Maniezzo. Parallel Genetic Algorithms: Introduction and Overview of Current Research. In J. Stenders, editor, Parallel Genetic Algorithms: Theory and Applications, pages 5-42. IOS Press, Amsterdam, The Netherlands, 1993.
© IOS Press 1993
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J.-M. Renders, H. Bersini, and M. Saerens. Adaptive NeuroControl: How Black Box and Simple can it be. In Machine Learning, Proceedings of the Tenth International Conference, pages 260-267. Morgan Kaufmann Publishers, 1993.
© Morgan Kaufmann Publishers 1993
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H. Xu, Y.-T. Hsia, and P. Smets. A Belief-Function Based Decision Support System. In D. Heckerman and E. H. Mamdani, editors, UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, July 9-11, 1993, The Catholic University of America, Providence, Washington, DC, USA, pages 535-542. Morgan Kaufmann Publishers, 1993.
© Morgan Kaufmann Publishers 1993
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P. Smets. Probability of Deductibility and Belief Functions. In M. Clarke, R. Kruse, and S. Moral, editors, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'93, Granada, Spain, November 8-10, 1993, Proceedings, volume 747 of Lecture Notes in Computer Science, pages 332-340. Springer-Verlag, 1993.
© Springer-Verlag 1993
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P. Smets. Jeffrey's rule of conditioning generalized to belief functions. In D. Heckerman and E. H. Mamdani, editors, UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, July 9-11, 1993, The Catholic University of America, Providence, Washington, DC, USA, pages 500-505. Morgan Kaufmann Publishers, 1993.
© Morgan Kaufmann Publishers 1993
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H. Bersini and G. Seront. In Search of a Good Evolution-Optimization Crossover. In R. M├Ąnner and B. Manderick, editors, Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992, pages 485-494. Elsevier, 1992.
© Elsevier 1992
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F. Klawonn and P. Smets. The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices. In D. Dubois and M. P. Wellman, editors, UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, July 17-19, 1992, Stanford University, Stanford, CA, USA, pages 130-137. Morgan Kaufmann Publishers, 1992.
© Morgan Kaufmann Publishers 1992
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P. Smets. The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model. In D. Dubois and M. P. Wellman, editors, UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, July 17-19, 1992, Stanford University, Stanford, CA, USA, pages 292-297. Morgan Kaufmann Publishers, 1992.
© Morgan Kaufmann Publishers 1992
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H. Bersini and F. J. Varela. The Immune Recruitment Mechanism: A Selective Evolutionary Strategy. In R. K. Belew and L. B. Booker, editors, Proceedings of the 4th International Conference on Genetic Algorithms (IGCA), San Diego, CA, USA, July 1991, pages 520-526. Morgan Kaufmann Publishers, 1991.
© Morgan Kaufmann Publishers 1991
BibTeX
H. Bersini and F. J. Varela. Hints for Adaptive Problem Solving Gleaned from Immune Networks. In H.-P. Schwefel and R. M├Ąnner, editors, Parallel Problem Solving from Nature, 1st Workshop, PPSN I, Dortmund, FRG, October 1-3, 1990, Proceedings, volume 496 of Lecture Notes in Computer Science, pages 343-354. Springer-Verlag, 1991.
© Springer-Verlag 1991
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P. Smets, Y.-T. Hsia, A. Saffiotti, R. Kennes, and E. Umkehrer. The Transferable Belief Model. In R. Kruse and P. Siegel, editors, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU, Marseille, France, October 15-17, 1991, Proceedings, volume 548 of Lecture Notes in Computer Science, pages 91-96. Springer-Verlag, 1991.
© Springer-Verlag 1991
BibTeX
R. Kennes and P. Smets. Computational aspects of the Mobius transformation. In P. P. Bonissone, M. Henrion, L. N. Kanal, and J. F. Lemmer, editors, UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, July 27-29, 1990, MIT, Cambridge, MA, USA, pages 401-416. Elsevier, 1991.
© Elsevier 1991
BibTeX
P. Smets and Y.-T. Hsia. Default reasoning and the transferable belief model. In P. P. Bonissone, M. Henrion, L. N. Kanal, and J. F. Lemmer, editors, UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, July 27-29, 1990, MIT, Cambridge, MA, USA, pages 495-504. Elsevier, 1991.
© Elsevier 1991
BibTeX
P. Smets. About Updating. In B. D'Ambrosio and P. Smets, editors, UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, July 13-15, 1991, University of California at Los Angeles, Los Angeles, CA, USA, pages 378-385. Morgan Kaufmann Publishers, 1991.
© Morgan Kaufmann Publishers 1991
BibTeX
P. Smets. The transferable belief model and other interpretations of Dempster-Shafer's model. In P. P. Bonissone, M. Henrion, L. N. Kanal, and J. F. Lemmer, editors, UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, July 27-29, 1990, MIT, Cambridge, MA, USA, pages 375-384. Elsevier, 1991.
© Elsevier 1991
BibTeX
P. Smets. Constructing the Pignistic Probability Function in a Context of Uncertainty. In M. Henrion, R. D. Shachter, L. N. Kanal, and J. F. Lemmer, editors, UAI, pages 29-40. North-Holland, 1989.
© North-Holland 1989
BibTeX
P. Smets. Belief Functions versus Probability Functions. In B. Bouchon-Meunier, L. Saitta, and R. R. Yager, editors, Uncertainty and Intelligent Systems. IPMU'88, volume 313 of Lecture Notes in Computer Science, pages 17-24. Springer-Verlag, 1988.
© Springer-Verlag 1988
BibTeX
J.-P. Nordvik, P. Smets, and P. Magrez. Fuzzy Qualitative Modeling. In B. Bouchon-Meunier, L. Saitta, and R. R. Yager, editors, Uncertainty and Intelligent Systems. IPMU'88, volume 313 of Lecture Notes in Computer Science, pages 231-238. Springer-Verlag, 1988.
© Springer-Verlag 1988

Articles in proceedings

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H. Hamann, G. Valentini, and M. Dorigo. Population Coding: A New Design Paradigm for Embodied Distributed Systems. In Swarm Intelligence - Proceedings of ANTS 2016 - Tenth International Conference, volume 9882 of Lecture Notes in Computer Science, pages 173-184, Berlin, Germany, 2016. Springer.
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G. Valentini, D. Brambilla, H. Hamann, and M. Dorigo. Collective Perception of Environmental Features in a Robot Swarm. In Swarm Intelligence - Proceedings of ANTS 2016 - Tenth International Conference, volume 9882 of Lecture Notes in Computer Science, pages 65-76, Berlin, Germany, 2016. Springer.
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A. Antoun, G. Valentini, E. Hocquard, B. Wiandt, V. Trianni, and M. Dorigo. Kilogrid: a Modular Virtualization Environment for the Kilobot Robot. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3809-3814, Piscataway, NJ, 2016. IEEE Press.
© IEEE Press 2016
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G. Valentini, H. Hamann, and M. Dorigo. Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off. In R. Bordini, E. Elkind, G. Weiss, and P. Yolum, editors, Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), pages 1305-1314. IFAAMAS, 2015.
© IFAAMAS 2015
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D. Ipparthi, A. Winslow, M. Mastrangeli, and M. Dorigo. A Study of Yield Predictions for a Model of Homogeneous Self-Assembling Components. In A. Natraj, S. Cameron, C. Melhuish, and M. Witkowski, editors, Proceedings of SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, pages 168-171, 2015.
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G. Valentini, H. Hamann, and M. Dorigo. Self-organized collective decision-making in a 100-robot swarm. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pages 4216-4217. AAAI Press, 2015.
© AAAI Press 2015
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T. Soleymani, E. Garone, and M. Dorigo. Distributed Constrained Connectivity Control for Proximity Networks based on a Receding Horizon Scheme. In 2015 American Control Conference, Advances in Intelligent Systems and Computing, pages 1369-1374, Piscataway, NJ, 2015. IEEE Press.
© IEEE Press 2015 – 10.1109/ACC.2015.7170924
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A. Reina, M. Salvaro, G. Francesca, L. Garattoni, C. Pinciroli, M. Dorigo, and M. Birattari. Augmented reality for robots: virtual sensing technology applied to a swarm of e-pucks. In Proceedings of the IEEE 2015 NASA/ESA Conference of Adaptive Hardware and Systems (AHS), pages 1-6, Los Alamitos, CA, 2015. IEEE Computer Society Press.
© IEEE Computer Society Press 2015 – 10.1109/AHS.2015.7231154
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G. Valentini, H. Hamann, and M. Dorigo. Self-organized Collective Decisions in a Robot Swarm. In AAAI-15 Video Proceedings. AAAI Press, 2015. Winner of the “AAAI-2015 Best Student Video Award”.
© AAAI Press 2015
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T. Soleymani, V. Trianni, M. Bonani, F. Mondada, and M. Dorigo. Autonomous Construction with Compliant Building Material. In Intelligent Autonomous Systems - IAS 2014, volume 302 of Advances in Intelligent Systems and Computing, pages 1371-1388, Berlin, Germany, 2015. Springer.
© Springer 2015 – 10.1007/978-3-319-08338-4_99
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A. Reina, M. Dorigo, and V. Trianni. Towards a Cognitive Design Pattern for Collective Decision-Making. In Swarm Intelligence - Proceedings of ANTS 2014 - Ninth International Conference, volume 8667 of Lecture Notes in Computer Science, pages 194-205, Berlin, Germany, 2014. Springer.
© Springer 2014 – 10.1007/978-3-319-09952-1_17
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H. Hamann, G. Valentini, Y. Khaluf, and M. Dorigo. Derivation of a Micro-Macro Link for Collective Decision-Making Systems. Uncover Network Features Based on Drift Measurements. In Parallel Problem Solving from Nature - PPSN XIII: 13th International Conference, volume 8672 of Lecture Notes in Computer Science, pages 181-190, Berlin, Germany, 2014. Springer.
© Springer 2014 – 10.1007/978-3-319-10762-2_18
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N. Bhalla, D. Ipparthi, E. Klemp, and M. Dorigo. A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-Assembly. In Parallel Problem Solving from Nature - PPSN XIII: 13th International Conference, volume 8672 of Lecture Notes in Computer Science, pages 751-760, Berlin, Germany, 2014. Springer.
© Springer 2014 – 10.1007/978-3-319-10762-2_74
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G. Valentini, H. Hamann, and M. Dorigo. Self-Organized Collective Decision Making: The Weighted Voter Model. In Proceedings of 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), pages 45-52, Richland, SC, 2014. International Foundation for Autonomous Agents and Multiagent Systems.
© International Foundation for Autonomous Agents and Multiagent Systems 2014
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M. Allwright, N. Bhalla, H. El-faham, A. Antoun, C. Pinciroli, and M. Dorigo. SRoCS: Leveraging Stigmergy on a Multi-robot Construction Platform for Unknown Environments. In Swarm Intelligence - Proceedings of ANTS 2014 - Ninth International Conference, volume 8667 of Lecture Notes in Computer Science, pages 158-169, Berlin, Germany, 2014. Springer. Best paper award.
© Springer 2014 – 10.1007/978-3-319-09952-1_14
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A. Reina, M. Dorigo, and V. Trianni. Collective Decision Making in Distributed Systems Inspired by Honeybees Behaviour. In Proceedings of 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), pages 1421-1422, Richland, SC, 2014. International Foundation for Autonomous Agents and Multiagent Systems.
© International Foundation for Autonomous Agents and Multiagent Systems 2014
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G. Podevijn, R. O'Grady, Y. S. G. Nashed, and M. Dorigo. Gesturing at Subswarms: Towards Direct Human Control of Robot Swarms. In A. Natraj, S. Cameron, C. Melhuish, and M. Witkowski, editors, Towards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, volume 8069 of Lecture Notes in Computer Science, pages 390-403, 2013.
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E. Ferrante, W. Sun, A. E. Turgut, M. Dorigo, M. Birattari, and T. Wenseleers. Self-organized Flocking with Conflicting Goal Directions. In T. Gilbert, M. Kirkilionis, and G. Nicolis, editors, Proceedings of the European Conference on Complex Systems 2012, Springer Proceedings in Complexity, pages 607-613. Springer International Publishing, 2013.
© Springer International Publishing 2013 – 10.1007/978-3-319-00395-5_74
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G. Valentini, M. Birattari, and M. Dorigo. Majority Rule with Differential Latency: An Absorbing Markov Chain to Model Consensus. In T. Gilbert, M. Kirkilionis, and G. Nicolis, editors, Proceedings of the European Conference on Complex Systems 2012, Springer Proceedings in Complexity, pages 651-658. Springer International Publishing, 2013.
© Springer International Publishing 2013 – 10.1007/978-3-319-00395-5_79
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E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo. Socially-Mediated Negotiation for Obstacle Avoidance in Collective Transport. In Distributed Autonomous Robotic Systems, Proceedings of the 10th International Symposium on Distributed Autonomous Robotic Systems, volume 83 of Springer Tracts in Advanced Robotics, pages 571-583, Berlin, Germany, 2013. Springer.
© Springer 2013 – 10.1007/978-3-642-32723-0_41
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R. Miletitch, V. Trianni, A. Campo, and M. Dorigo. Information Aggregation Mechanisms in Social Odometry. In Advances in Artificial Life, ECAL 2013: 12th European Conference on the Synthesis and Simulation of Living Systems, pages 102-109. MIT Press, 2013.
© MIT Press 2013 – 10.7551/978-0-262-31709-2-ch016
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G. Podevijn, R. O'Grady, and M. Dorigo. Self-organised Feedback in Human Swarm Interaction. In Proceedings of the Workshop on Robot Feedback in Human-Robot Interaction: How to Make a Robot Readable for a Human Interaction Partner (Ro-Man 2012), Paris, France, September 9, 2012, 2012.
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R. O'Grady, A. Christensen, R. Gro├č, and M. Dorigo. Self-organised Computational Structures for Real Time Analysis in Highly Distributed Environmental Monitoring. In Presented at the IROS 2012 Workshop on Robotics for Environmental Monitoring, 2012.
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M. Brambilla, C. Pinciroli, M. Birattari, and M. Dorigo. Property-driven design for swarm robotics. In Proceedings of 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pages 139-146. International Foundation for Autonomous Agents and Multiagent Systems, 2012.
© International Foundation for Autonomous Agents and Multiagent Systems 2012
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G. Pini, A. Brutschy, G. Francesca, M. Dorigo, and M. Birattari. Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics. In Swarm Intelligence - Proceedings of ANTS 2012 - Eighth International Conference, volume 7461 of Lecture Notes in Computer Science, pages 109-120, Berlin, Germany, 2012. Springer.
© Springer 2012
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T. Liao, M. Molina, T. St├╝tzle, M. Montes de Oca, and M. Dorigo. An ACO Algorithm Benchmarked on the BBOB Noiseless Function Testbed. In Proceedings of the Workshop for Real-Parameter Optimization of the Genetic and Evolutionary Computation Conference, GECCO12, pages 159-166, New York, 2012. ACM Press.
© ACM Press 2012 – 10.1145/2330784.2330809
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A. Brutschy, A. Scheidler, E. Ferrante, M. Dorigo, and M. Birattari. Can Ants Inspire Robots? Self-organized Decision Making in Robotic Swarms. In Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'12), pages 4272-4273, Los Alamitos, CA, 2012. IEEE Computer Society Press.
© IEEE Computer Society Press 2012
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N. Mathews, A. Christensen, R. O'Grady, and M. Dorigo. Spatially Targeted Communication and Self-Assembly. In Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'12), pages 2678-2679, Los Alamitos, CA, 2012. IEEE Computer Society Press. \urlhttps://www.youtube.com/watch?v=i3ernrkZ91E.
© IEEE Computer Society Press 2012
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M. Massink, M. Brambilla, D. Latella, M. Dorigo, and M. Birattari. Analysing Robot Swarm Decision-Making with Bio-PEPA. In Swarm Intelligence - Proceedings of ANTS 2012 - Eighth International Conference, volume 7461 of Lecture Notes in Computer Science, pages 25-36, Berlin, Germany, 2012. Springer.
© Springer 2012
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N. Mathews, A. Stranieri, A. Scheidler, and M. Dorigo. Supervised Morphogenesis - Morphology Control of Ground-based Self-assembling Robots by Aerial Robots. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pages 97-104. International Foundation for Autonomous Agents and Multiagent Systems, 2012.
© International Foundation for Autonomous Agents and Multiagent Systems 2012
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E. Gjondrekaj, M. Loreti, R. Pugliese, F. Tiezzi, C. Pinciroli, M. Brambilla, M. Birattari, and M. Dorigo. Towards a Formal Verification Methodology for Collective Robotic Systems. In Formal Methods and Software Engineering, Proceedings of the 14th International Conference on Formal Engineering Methods, ICFEM 2012, volume 7635 of Lecture Notes in Computer Science, pages 54-70, Berlin, Germany, 2012. Springer.
© Springer 2012
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E. Ferrante, A. E. Turgut, C. Huepe, M. Birattari, M. Dorigo, and T. Wenseleers. Explicit and Implicit Directional Information Transfer in Collective Motion. In Artificial Life XIII: Proceedings of Thirteenth International Conference on the Simulation and Synthesis of Living Systems, pages 551-552, Cambridge, MA, 2012. MIT Press.
© MIT Press 2012
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G. Francesca, M. Brambilla, V. Trianni, M. Dorigo, and M. Birattari. Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making. In From Animals to Animats 12: 12th International Conference on Simulation of Adaptive Behavior, SAB 2012, volume 6234 of Lecture Notes in Computer Science, pages 381-390, Berlin, Germany, 2012. Springer.
© Springer 2012
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A. Stranieri, E. Ferrante, A. E. Turgut, V. Trianni, C. Pinciroli, M. Birattari, and M. Dorigo. Self-Organized Flocking with a Heterogeneous Mobile Robot Swarm. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, and R. Doursat, editors, Advances in Artificial Life, ECAL 2011: 11th European Conference on the Synthesis and Simulation of Living Systems, pages 789-796, Cambridge, MA, 2011. MIT Press.
© MIT Press 2011
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R. O'Grady, C. Pinciroli, R. Gro├č, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Swarm-bots to the Rescue. In G. Kampis, I. Karsai, and E. Szathm├íry, editors, Advances in Artificial Life: 10th European Conference - ECAL 2009, volume 5777 of Lecture Notes in Artificial Intelligence, pages 165-172, Berlin, Germany, 2011. Springer.
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T. Liao, M. Montes de Oca, D. Aydin, T. St├╝tzle, and M. Dorigo. An incremental Ant Colony Algorithm with Local Search for Continuous Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2011), pages 125-132, New York, 2011. ACM Press. Winner of Best Paper Award.
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N. Mathews, A. Christensen, R. O'Grady, P. R├ętornaz, M. Bonani, F. Mondada, and M. Dorigo. Enhanced Directional Self-assembly Based on Active Recruitment and Guidance. In Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'11), pages 4762-4769, Los Alamitos, CA, 2011. IEEE Computer Society Press.
© IEEE Computer Society Press 2011
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C. Pinciroli, V. Trianni, R. O'Grady, G. Pini, A. Brutschy, M. Brambilla, N. Mathews, E. Ferrante, G. Di Caro, F. Ducatelle, T. Stirling, ?. Guti├ęrrez, L. M. Gambardella, and M. Dorigo. ARGoS: A Modular, Multi-Engine Simulator for Heterogeneous Swarm Robotics. In Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'11), pages 5027-5034, Los Alamitos, CA, 2011. IEEE Computer Society Press.
© IEEE Computer Society Press 2011
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S. Oliveira, M. S. Hussin, T. St├╝tzle, A. Roli, and M. Dorigo. A Detailed Analysis of the Population-based Ant Colony Optimization Algorithm for the TSP and the QAP. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2011), pages 13-14, New York, 2011. ACM Press.
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M. Dorigo, M. Birattari, and R. O'Grady. Swarmanoid, The Movie. In AAAI-11 Video Proceedings. AAAI Press, 2011. Winner of the “AAAI-2011 Best AI Video Award”.
© AAAI Press 2011
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A. Brutschy, N.-L. Tran, N. Baiboun, M. Frison, G. Pini, A. Roli, M. Dorigo, and M. Birattari. Costs and Benefits of Behavioral Specialization. In R. Gro├č, L. Alboul, C. Melhuish, M. Witkowski, T. J. Prescott, and J. Penders, editors, Towards Autonomous Robotic Systems - 12th Annual Conference, TAROS 2011, volume 6856 of Lecture Notes in Computer Science, pages 90-101, Berlin, Germany, 2011. Springer.
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E. Ferrante, A. E. Turgut, N. Mathews, M. Birattari, and M. Dorigo. Flocking in Stationary and Non-Stationary Environments: A Novel Communication Strategy for Heading Alignment. In R. Schaefer, C. Cotta, J. Kolodziej, and G. Rudolph, editors, Parallel Problem Solving from Nature - PPSN XI: 11th International Conference, number 6239 in Lecture Notes in Computer Science, pages 331-340, Berlin, Germany, 2010. Springer.
© Springer 2010
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E. Ferrante, M. Brambilla, M. Birattari, and M. Dorigo. “Look out!”: Socially-Mediated Obstacle Avoidance in Collective Transport. In Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science, pages 572-573, Berlin, Germany, 2010. Springer.
© Springer 2010
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster. In I. Gupta, S. Hassas, and J. Rolia, editors, Proceedings of the Fourth IEEE Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), pages 243-252, Los Alamitos, CA, 2010. IEEE Computer Society Press.
© IEEE Computer Society Press 2010
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M. Frison, N.-L. Tran, N. Baiboun, A. Brutschy, G. Pini, A. Roli, M. Dorigo, and M. Birattari. Adaptive task partitioning in swarms of homogeneous robots. In Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science, pages 288-299, Berlin, Germany, 2010. Springer.
© Springer 2010
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M. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo. Opinion Dynamics for Decentralized Decision-Making in a Robot Swarm. In Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science, pages 252-263, Berlin, Germany, 2010. Springer.
© Springer 2010
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C. Pinciroli, R. O'Grady, A. Christensen, and M. Dorigo. Coordinating Heterogeneous Swarms Through Minimal Communication Among Homogeneous Sub-Swarms. In Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science, pages 558-559, Berlin, Germany, 2010. Springer.
© Springer 2010
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R. O'Grady, A. Christensen, C. Pinciroli, and M. Dorigo. Robots Autonomously Self-Assemble into Dedicated Morphologies to Solve Different Tasks. In Proceedings of 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pages 1517-1518, Toronto, Canada, 2010. IFAAMAS.
© IFAAMAS 2010
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N. Mathews, A. Christensen, E. Ferrante, R. O'Grady, and M. Dorigo. Establishing Spatially Targeted Communication in a Heterogeneous Robot Swarm. In Proceedings of 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pages 939-946, Toronto, Canada, 2010. IFAAMAS.
© IFAAMAS 2010
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N. Mathews, A. Christensen, R. O'Grady, and M. Dorigo. Cooperation in a Heterogeneous Robot Swarm through Spatially Targeted Communication. In Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science, pages 400-407, Berlin, Germany, 2010. Springer.
© Springer 2010
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W. Sch├Ąfer, M. Birattari, J. Bl├Âmer, M. Dorigo, G. Engels, R. O'Grady, M. Platzner, F. Rammig, W. Reif, and A. Tr├Ąchtler. Engineering Self-Coordinating Software Intensive Systems. In FoSER'10: Proceedings of the FSE/SDP workshop on future of software engineering research, pages 321-324, New York, 2010. ACM Press.
© ACM Press 2010
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C. Teixeira, J. Covas, T. St├╝tzle, and A. Gaspar-Cunha. Application of Pareto Local Search and Multi-Objective Ant Colony Algorithms to the Optimization of Co-Rotating Twin Screw Extruders. In A. Viana et al., editors, Proceedings of the EU/MEeting 2009: Debating the future: new areas of application and innovative approaches, pages 115-120, 2009.
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M. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo. Optimal Collective Decision-Making through Social Influence and Different Action Execution Times. In D. Curran and C. O'Riordan, editors, Proceedings of Workshop on Organisation, Cooperation and Emergence in Social Learning Agents of the European Conference on Artificial Life (ECAL 2009), 2009.
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M. Brambilla, C. Pinciroli, M. Birattari, and M. Dorigo. A Reliable Distributed Algorithm for Group Size Estimation with Minimal Communication Requirements. In Fourteenth International Conference on Advanced Robotics - ICAR 2009, pages 1-6, 2009. Proceedings on CD-ROM, paper ID 137.
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C. Pinciroli, R. O'Grady, A. Christensen, and M. Dorigo. Self-Organised Recruitment in a Heteregeneous Swarm. In Fourteenth International Conference on Advanced Robotics - ICAR 2009, pages 1-8, 2009. Proceedings on CD-ROM, paper ID 176.
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H. Bersini. Object-Oriented Refactoring of Existing Immune Models. In ICARIS, pages 27-40, 2009.
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Z. Yuan, T. St├╝tzle, and M. Birattari. Combining F-Race and mesh adaptive direct search for automatic algorithm configuration. In F. Hutter and M. Montes de Oca, editors, SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, Brussels, Belgium, 2009.
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C. Teixeira, J. Covas, T. St├╝tzle, and A. Gaspar-Cunha. Optimization of Co-Rotating Twin-Screw Extruders Using Pareto Local Search. In Proceedings of the 14th Online World Conference on Soft Computing in Industrial Applications, pages http://wsc14.science-city.org, 8, 2009.
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G. Pini, A. Brutschy, M. Birattari, and M. Dorigo. Interference Reduction Through Task Partitioning in a Robotic Swarm. In J. Filipe, J. Andrade-Cetto, and J.-L. Ferrier, editors, Sixth International Conference on Informatics in Control, Automation and Robotics - ICINCO 2009, pages 52-59, Set├║bal, Portugal, 2009. INSTICC Press.
© INSTICC Press 2009
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M. Montes de Oca, J. Pe├▒a, T. St├╝tzle, C. Pinciroli, and M. Dorigo. Heterogeneous Particle Swarm Optimizers. In P. Haddow et al., editors, IEEE Congress on Evolutionary Computation - CEC 2009, pages 698-705, Piscataway, NJ, 2009. IEEE Press.
© IEEE Press 2009
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A. Christensen, R. O'Grady, and M. Dorigo. Parallel Task Execution, Morphology Control and Scalability in a Swarm of Self-Assembling Robots. In 9th Conference on Autonomous Robot Systems and Competitions, Rob├│tica 2009, pages 127-133, Castelo Branco, Portugal, 2009. IPCB-Instituto Polit├ęcnico de Castelo Branco.
© IPCB-Instituto Polit├ęcnico de Castelo Branco 2009
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R. O'Grady, C. Pinciroli, A. Christensen, and M. Dorigo. Supervised Group Size Regulation in a Heterogeneous Robotic Swarm. In 9th Conference on Autonomous Robot Systems and Competitions, Rob├│tica 2009, pages 113-119, Castelo Branco, Portugal, 2009. IPCB-Instituto Polit├ęcnico de Castelo Branco.
© IPCB-Instituto Polit├ęcnico de Castelo Branco 2009
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?. Guti├ęrrez, A. Campo, M. Dorigo, J. Donate, F. Monasterio-Huelin, and L. Magdalena. Open E-puck Range & Bearing Miniaturized Board for Local Communication in Swarm Robotics. In IEEE International Conference on Robotics and Automation - ICRA 2009, pages 3111-3116, Piscataway, NJ, 2009. IEEE Press.
© IEEE Press 2009
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T. Urlings, T. St├╝tzle, and R. Ruiz. Local Search Engineering for Highly Constrained Hybrid Flow Line Problems. In Proceedings of the Eleventh International Workshop on Project Management and Scheduling (PMS), pages 269-273, Istanbul, Turkey, 2008.
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M. Dorigo. Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles. In M. Hinchey, A. Pagnoni, F. Rammig, and H. Schmeck, editors, Biologically-Inspired Collaborative Computing, page 2, New York, 2008. Springer.
© Springer 2008 – http://dx.doi.org/
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C. Pinciroli, M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo. Lattice Formation in Space for a Swarm of Pico Satellites. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors, Ant Colony Optimization and Swarm Intelligence, Sixth International Conference, ANTS 2008, volume 5217 of Lecture Notes in Computer Science, pages 347-354, Berlin, Germany, 2008. Springer.
© Springer 2008
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?. Guti├ęrrez, A. Campo, F. C. Santos, C. Pinciroli, and M. Dorigo. Social Odometry in Populations of Autonomous Robots. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors, Ant Colony Optimization and Swarm Intelligence, Sixth International Conference, ANTS 2008, volume 5217 of Lecture Notes in Computer Science, pages 371-378, Berlin, Germany, 2008. Springer.
© Springer 2008
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A. Christensen, R. O'Grady, and M. Dorigo. Synchronization and Fault Detection in Autonomous Robots. In R. Chatila, J. P. Merlet, and C. Laugier, editors, Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2008), pages 4139-4140, Los Alamitos, CA, 2008. IEEE Computer Society Press.
© IEEE Computer Society Press 2008
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A. Decugni├Ęre, B. Poulain, A. Campo, C. Pinciroli, B. Tartini, M. Os├ęe, M. Birattari, and M. Dorigo. Enhancing the Cooperative Transport of Multiple Objects. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors, Ant Colony Optimization and Swarm Intelligence, Sixth International Conference, ANTS 2008, volume 5217 of Lecture Notes in Computer Science, pages 307-314, Berlin, Germany, 2008. Springer.
© Springer 2008
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R. O'Grady, A. Christensen, and M. Dorigo. Autonomous Reconfiguration in a Self-Assembling Multi-Robot System. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. St├╝tzle, and A. F. T. Winfield, editors, Ant Colony Optimization and Swarm Intelligence, Sixth International Conference, ANTS 2008, volume 5217 of Lecture Notes in Computer Science, pages 259-266, Berlin, Germany, 2008. Springer.
© Springer 2008
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E. Tuci, C. Ampatzis, V. Trianni, A. Christensen, and M. Dorigo. Self-Assembly in Physical Autonomous Robots: the Evolutionary Robotics Approach. In S. Bullock, J. Noble, R. Watson, and M. A. Bedau, editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pages 616-623, Cambridge, MA, 2008. MIT Press.
© MIT Press 2008
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C. Pinciroli, M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo. Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites. In Proceedings of NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2008), pages 57-61, Los Alamitos, CA, 2008. IEEE Computer Society Press.
© IEEE Computer Society Press 2008
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R. Gro├č, S. Nouyan, M. Bonani, F. Mondada, and M. Dorigo. Division of Labour in Self-organised Groups. In From Animals to Animats 10: 10th International Conference on Simulation of Adaptive Behavior, SAB 2008, volume 5040 of Lecture Notes in Artificial Intelligence, pages 426-436, Berlin, Germany, 2008. Springer.
© Springer 2008
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R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Morphology Control with a Swarm of Self-Assembling Robots. In W.-M. Shen, H. Lipson, K. Stoy, and M. Yim, editors, CD Proceedings of IROS 2007 Workshop on Self-Reconfigurable Robots/Systems and Applications, page 5, San Diego, CA, 2007.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. Composing particle swarm optimization algorithms. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 6-10, Brussels, Belgium, 2007.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Sampling strategies and local search for stochastic combinatorial optimization. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 16-20, Brussels, Belgium, 2007.
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M. Manfrin, M. Birattari, T. St├╝tzle, and M. Dorigo. Communication policies for a parallel multi-colony ACO algorithm with identical colonies. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 31-35, Brussels, Belgium, 2007.
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M. Birattari, P. Balaprakash, T. St├╝tzle, and M. Dorigo. Estimation-based Local Search for the Probabilistic Traveling Salesman Problem. In CD Proceedings of MIC 2007, the 7th Metaheuristics International Conference, Operations Research/Computer Science Interfaces Series, page 3, Montreal, Canada, 2007. CIRRELT.
© CIRRELT 2007
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T. Huynh-Trung, T. St├╝tzle, M. Birattari, and Y. De Smet. A study of ant colony optimization algorithms for a biobjective permutation flowshop problem. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 58-62, Brussels, Belgium, 2007.
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R. Lenne, C. Solnon, T. St├╝tzle, E. Tannier, and M. Birattari. Effective stochastic local search algorithms for the genomic median problem. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 1-5, Brussels, Belgium, 2007.
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M. S. bin Hussin, T. St├╝tzle, and M. Birattari. A study of stochastic local search algorithms for the quadratic assignment problem. In E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 11-15, Brussels, Belgium, 2007.
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R. Gro├č and M. Dorigo. Fifty Years of Self-Assembly Experimentation. In W.-M. Shen, H. Lipson, K. Stoy, and M. Yim, editors, CD Proceedings of IROS 2007 Workshop on Self-Reconfigurable Robots/Systems and Applications, page 6, San Diego, CA, 2007.
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R. O'Grady, R. Gro├č, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Performance Benefits of Self-Assembly in a Swarm-Bot. In E. Grant and T. C. Henderson, editors, Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2007), pages 2381-2387, Los Alamitos, CA, 2007. IEEE Computer Society Press.
© IEEE Computer Society Press 2007
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A. Christensen, R. O'Grady, and M. Dorigo. Morphogenesis: Shaping Swarms of Intelligent Robots. In AAAI-07 Video Proceedings. AAAI Press, 2007. Winner of the “AAAI-2007 Best AI Video Award”.
© AAAI Press 2007
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R. O'Grady, A. Christensen, and M. Dorigo. Self-Assembly and Morphology Control in a Swarm-bot. In E. Grant and T. C. Henderson, editors, Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2007), pages 2551-2552, Los Alamitos, CA, 2007. IEEE Computer Society Press.
© IEEE Computer Society Press 2007
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M. Birattari, P. Balaprakash, and M. Dorigo. The ACO/F-RACE Algorithm for Combinatorial Optimization under Uncertainty. In Metaheuristics-Progress in Complex Systems Optimization, Operations Research/Computer Science Interfaces Series, pages 189-203, Berlin, Germany, 2007. Springer.
© Springer 2007
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A. Christensen, R. O'Grady, and M. Dorigo. A Mechanism to Self-Assemble Patterns with Autonomous Robots. In Advances in Artificial Life, Proceedings of ECAL 2007, volume LNAI 4648 of Lecture Notes in Artificial Intelligence, pages 716-725, Berlin, Germany, 2007. Springer.
© Springer 2007
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A. Campo and M. Dorigo. Efficient Multi-Foraging in Swarm Robotics. In Advances in Artificial Life, Proceedings of ECAL 2007, volume LNAI 4648 of Lecture Notes in Artificial Intelligence, pages 696-705, Berlin, Germany, 2007. Springer.
© Springer 2007
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A. Christensen, R. O'Grady, M. Birattari, and M. Dorigo. Exogenous Fault Detection in a Collective Robotic Task. In Advances in Artificial Life, Proceedings of ECAL 2007, volume LNAI 4648 of Lecture Notes in Artificial Intelligence, pages 555-564, Berlin, Germany, 2007. Springer-Verlag.
© Springer-Verlag 2007
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V. Trianni, C. Ampatzis, A. Christensen, E. Tuci, M. Dorigo, and S. Nolfi. From Solitary to Collective Behaviours: Decision Making and Cooperation. In Advances in Artificial Life, Proceedings of ECAL 2007, volume LNAI 4648 of Lecture Notes in Artificial Intelligence, pages 575-584, Berlin, Germany, 2007. Springer-Verlag.
© Springer-Verlag 2007
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A. Christensen, R. O'Grady, M. Birattari, and M. Dorigo. Automatic Synthesis of Fault Detection Modules for Mobile Robots. In Proceedings of the 2007 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2007), pages 693-700, Los Alamitos, CA, 2007. IEEE Computer Society Press.
© IEEE Computer Society Press 2007
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M. Dorigo. Swarms of Self-assembing Robots. In Proceedings of EEMMAS 2007, volume 5049 of Lecture Notes in Artificial Intelligence, pages 1-2, Berlin, Germany, 2007. Springer.
© Springer 2007
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H. Bersini. Immune System Modeling: The OO Way. In ICARIS, pages 150-163, 2006.
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M. Manfrin, M. Birattari, T. St├╝tzle, and M. Dorigo. Parallel Multicolony ACO Algorithm With Exchange of Solutions. In P.-Y. Schobbens, W. Vanhoof, and G. Schwanen, editors, 18th Belgium-Netherlands Conference on Artificial Intelligence, pages 409-410, Namur, Belgium, 2006. University of Namur.
© University of Namur 2006
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M. Birattari and T. St├╝tzle. F-races: A tool for the automatic configuration of stochastic local search algorithms. In ECCO XIX - CO2006 Joint Meeting, Porto, Portugal, 2006.
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A. Campo, S. Nouyan, M. Birattari, R. Gro├č, and M. Dorigo. Enhancing Cooperative Transport Using Negotiation of Goal Direction. In P.-Y. Schobbens, W. Vanhoof, and G. Schwanen, editors, 18th Belgium-Netherlands Conference on Artificial Intelligence, pages 365-366, Namur, Belgium, 2006. University of Namur.
© University of Namur 2006
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E. Tuci, C. Ampatzis, F. Vicentini, and M. Dorigo. Operational Aspects of the Evolved Signalling Behaviour in a Group of Cooperating and Communicating Robots. In P. Vogt, Y. Sugita, E. Tuci, and C. Nehaniv, editors, Symbol Grounding and Beyond: Third International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006, volume 4211 of Lecture Notes in Artificial Intelligence, pages 113-127, Berlin, Germany, 2006. Springer.
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C. Ampatzis, E. Tuci, V. Trianni, and M. Dorigo. Evolution of Signalling in a Group of Robots Controlled by Dynamic Neural Networks. In E. Sahin, W. M. Spears, and A. F. T. Winfield, editors, Second International Workshop on Swarm Robotics at SAB 2006, volume 4433 of Lecture Notes in Computer Science, pages 173-188, Berlin, Germany, 2006. Springer.
© Springer 2006
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E. Tuci, C. Ampatzis, F. Vicentini, and M. Dorigo. Evolved Homogeneous Neuro-controllers for Robots with Different Sensory Capabilities: Coordinated Motion and Cooperation. In S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, J.-A. Meyer, O. Miglino, and D. Parisi, editors, From Animals to Animats 9: 9th International Conference on Simulation of Adaptive Behavior, SAB 2006, volume 4095 of Lecture Notes in Artificial Intelligence, pages 679-690, Berlin, Germany, 2006. Springer.
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A. Christensen and M. Dorigo. Incremental Evolution of Robot Controllers for a Highly Integrated Task. In S. Nolfi, G. Baldassarre, R. Calabretta, J. Hallam, D. Marocco, J.-A. Meyer, O. Miglino, and D. Parisi, editors, From Animals to Animats 9: 9th International Conference on Simulation of Adaptive Behavior, SAB 2006, volume 4095 of Lecture Notes in Artificial Intelligence, pages 473-484, Berlin, Germany, 2006. Springer.
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A. Campo, S. Nouyan, M. Birattari, R. Gro├č, and M. Dorigo. Negotiation of Goal Direction for Cooperative Transport. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 191-202, Berlin, Germany, 2006. Springer.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Incremental Local Search in Ant Colony Optimization: Why it Fails for the Quadratic Assignment Problem. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 156-166, Berlin, Germany, 2006. Springer.
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S. Nouyan and M. Dorigo. Chain Based Path Formation in Swarms of Robots. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 120-131, Berlin, Germany, 2006. Springer.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 1-12, Berlin, Germany, 2006. Springer.
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M. Manfrin, M. Birattari, T. St├╝tzle, and M. Dorigo. Parallel Ant Colony Optimization for the Traveling Salesman Problem. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 224-234, Berlin, Germany, 2006. Springer.
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M. Birattari, P. Pellegrini, and M. Dorigo. On the Invariance of Ant System. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2006 - Fifth International Workshop, volume 4150 of Lecture Notes in Computer Science, pages 215-223, Berlin, Germany, 2006. Springer.
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A. Christensen and M. Dorigo. Evolving an Integrated Phototaxis and Hole-Avoidance Behavior for a Swarm-bot. In L. M. Rocha, L. S. Yaeger, M. A. Bedau, D. Floreano, R. L. Goldstone, and A. Vespignani, editors, Artificial Life X: Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems, pages 248-254, Cambridge, MA, 2006. MIT Press.
© MIT Press 2006
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R. Gro├č, F. Mondada, and M. Dorigo. Transport of an Object by Six Pre-attached Robots Interacting via Physical Links. In IEEE International Conference on Robotics and Automation - ICRA 2006, pages 1317-1323, Los Alamitos, CA, 2006. IEEE Computer Society Press.
© IEEE Computer Society Press 2006
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R. Gro├č, E. Tuci, M. Dorigo, M. Bonani, and F. Mondada. Object Transport by Modular Robots that Self-Assemble. In IEEE International Conference on Robotics and Automation - ICRA 2006, pages 2558-2564, Los Alamitos, CA, 2006. IEEE Computer Society Press.
© IEEE Computer Society Press 2006
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R. Gro├č, M. Dorigo, and M. Yamakita. Self-assembly of Mobile Robots. From Swarm-bot to Super-mechano Colony. In T. Arai, R. Pfeifer, T. Balch, and H. Yokoi, editors, Intelligent Autonomous Systems 9 - IAS 9, pages 487-496, Amsterdam, The Netherlands, 2006. IOS Press.
© IOS Press 2006
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S. Nouyan, R. Gro├č, M. Dorigo, M. Bonani, and F. Mondada. Group Transport Along a Robot Chain in a Self-Organised Robot Colony. In T. Arai, R. Pfeifer, T. Balch, and H. Yokoi, editors, Intelligent Autonomous Systems 9 - IAS 9, pages 433-442, Amsterdam, The Netherlands, 2006. IOS Press.
© IOS Press 2006
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R. Ruiz and T. St├╝tzle. An Iterated Greedy Algorithm for the Flowshop Problem with Sequence Dependent Setup Times. In Proceedings of the 6th Metaheuristics International Conference, pages 817-823, Vienna, Austria, 2005.
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T. Fischer, T. St├╝tzle, H. H. Hoos, and P. Merz. An Analysis of the Hardness of TSP Instances for Two High-performance Algorithms. In Proceedings of the 6th Metaheuristics International Conference, pages 361-367, Vienna, Austria, 2005.
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L. Paquete, T. Stützle, and M. López-Ibáñez. Towards the Empirical Analysis of SLS Algorithms for Multiobjective Combinatorial Optimization Problems through Experimental Design. In Proceedings of the 6th Metaheuristics International Conference, pages 739-746, Vienna, Austria, 2005.
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M. Chiarandini, D. Basso, and T. St├╝tzle. Statistical Methods for the Comparison of Stochastic Optimizers. In Proceedings of the 6th Metaheuristics International Conference, pages 189-196, Vienna, Austria, 2005.
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M. Guignard, P. M. Hahn, Z. Ding, B.-J. Kim, H. Samra, T. St├╝tzle, and S. Kanthak. Hybrid ARQ Symbol Mapping in Digital Wireless Communication Systems Based on the Quadratic 3-dimensional Assignment Problem (Q3AP). In Prodceedings of the 2005 NSF Design, Service and Manufacturing Grantees and Research Conference, Scottsdale, AZ, 2005. Http://www.fulton.asu.edu/dmii2005/.
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F. Hutter, H. H. Hoos, and T. St├╝tzle. Efficient Stochastic Local Search for MPE Solving. In Proceedings of IJCAI-05, pages 169-174, 2005.
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C. Ampatzis, E. Tuci, V. Trianni, and M. Dorigo. Evolving Communicating Agents that Integrate Information over Time: A Real Robot Experiment. In E.-G. Talbi, P. Liardet, P. Collet, C. Fonlupt, and E. Lutton, editors, 7th International Conference on Artificial Evolution, EA'05, pages 1-12, Lille, France, October 2005. University of Lille.
© University of Lille 2005
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M. Chiarandini, T. St├╝tzle, and M. Birattari. Applying stochastic local search methods to timetabling: an engineering process. In R. De Leone, E. Marchitto, and A. G. Quaranta, editors, XXXVI Annual Conference of the Italian Operational Research Society, page 74, Camerino, Italy, 2005.
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C. Philemotte and H. Bersini. CoEvolution of Effective Observers and Observed Multi-agents System. In Advances in Artificial Life, Proc. of the 8th European Conference, ECAL 2005, volume 3630 of Lecture Notes in Computer Science, pages 785-794, Canterbury, UK, September 2005. Springer-Verlag.
© Springer-Verlag 2005
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M. Birattari, P. Balaprakash, and M. Dorigo. ACO/F-Race: Ant Colony Optimization and Racing Techniques for Combinatorial Optimization Under Uncertainty. In K. F. Doerner, M. Gendreau, P. Greistorfer, W. J. Gutjahr, R. F. Hartl, and M. Reimann, editors, MIC 2005: The Sixth Metaheuristics International Conference, pages 107-112, Vienna, Austria, 2005. Department of Business Administration, University of Vienna.
© Department of Business Administration, University of Vienna 2005
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R. Gro├č, M. Bonani, F. Mondada, and M. Dorigo. Autonomous Self-assembly in a Swarm-bot. In K. Murase, K. Sekiyama, N. Kubota, T. Naniwa, and J. Sitte, editors, Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005), pages 314-322, Berlin, Germany, 2005. Springer.
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M. Dorigo. SWARM-BOT: An Experiment in Swarm Robotics. In P. Arabshahi and A. Martinoli, editors, 2005 IEEE Swarm Intelligence Symposium (SIS-05), pages 192-200, Piscataway, NJ, 2005. IEEE Press.
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V. Trianni and M. Dorigo. Emergent Collective Decisions in a Swarm of Robots. In P. Arabshahi and A. Martinoli, editors, 2005 IEEE Swarm Intelligence Symposium (SIS-05), pages 241-248, Piscataway, NJ, 2005. IEEE Press.
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R. O'Grady, R. Gro├č, F. Mondada, M. Bonani, and M. Dorigo. Self-assembly on Demand in a Group of Physical Autonomous Mobile Robots Navigating Rough Terrain. In M. S. Capcarrere, A. A. Freitas, P. J. Bentley, C. G. Johnson, and J. Timmis, editors, Advances in Artificial Life: 8th European Conference - ECAL 2005, volume 3630 of Lecture Notes in Artificial Intelligence, pages 272-281, Berlin, Germany, 2005. Springer.
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E. Tuci, C. Ampatzis, and M. Dorigo. Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model. In M. S. Capcarrere, A. A. Freitas, P. J. Bentley, C. G. Johnson, and J. Timmis, editors, Advances in Artificial Life: 8th European Conference - ECAL 2005, volume 3630 of Lecture Notes in Artificial Intelligence, pages 231-240, Berlin, Germany, 2005. Springer.
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M. Dorigo. Swarm-bot: A Novel Type of Self-Assembling Robot. In K. Murase, K. Sekiyama, N. Kubota, T. Naniwa, and J. Sitte, editors, Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005), pages 3-4, Berlin, Germany, 2005. Springer.
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H. H. Hoos, K. Smyth, and T. Stützle. Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. In X. Yao, E. Burke, J. A. Lozano, J. Q. Smith, J. J. Merelo Guervós, J. A. Bullinaria, J. Rowe, P. Tiño, A. Kabán, and H.-P. Schwefel, editors, Proceedings of PPSN-VIII, Eigth International Conference on Parallel Problem Solving from Nature, Lecture Notes in Computer Science, pages 51-60, Berlin, Germany, 2004. Springer-Verlag.
© Springer-Verlag 2004
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T. St├╝tzle and S. Fernandes. New Benchmark Instances for the QAP and the Experimental Analysis of Algorithms. In J. Gottlieb and G. R. Raidl, editors, Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, volume 3004 of Lecture Notes in Computer Science, pages 199-209, Berlin, Germany, 2004. Springer-Verlag.
© Springer-Verlag 2004
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L. Paquete, M. Chiarandini, and T. St├╝tzle. Pareto local optimum sets in the biobjective traveling salesman problem: An experimental study. In X. Gandibleux, M. Sevaux, K. S├Ârensen, and V. T'kindt, editors, Metaheuristics for Multiobjective Optimisation, volume 535 of Lecture Notes in Economics and Mathematical Systems, pages 177-200, Berlin, Germany, 2004. Springer-Verlag.
© Springer-Verlag 2004
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V. Trianni, S. Nolfi, and M. Dorigo. Hole Avoidance: Experiments in Coordinated Motion on Rough Terrain. In F. Groen, N. Amato, A. Bonarini, E. Yoshida, and B. Kr├Âse, editors, Intelligent Autonomous Systems 8 - IAS 8, pages 29-36, Amsterdam, The Netherlands, 2004. IOS Press. Winner of Best Paper Award.
© IOS Press 2004
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R. Gro├č and M. Dorigo. Evolving a Cooperative Transport Behavior for Two Simple Robots. In P. Liardet, P. Collet, C. Fonlupt, E. Lutton, and M. Schoenauer, editors, Artificial Evolution: Proceedings of the 6th International Conference, Evolution Artificielle 2003, volume 2936 of Lecture Notes in Computer Science, pages 305-316, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b96080
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J. Handl, J. Knowles, and M. Dorigo. Strategies for the Increased Robustness of Ant-Based Clustering. In G. Di Marzo Serugendo, A. Karageorgos, O. F. Rana, and F. Zambonelli, editors, Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering, volume 2977 of Lecture Notes in Artificial Intelligence, pages 90-104, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b95863
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T. H. Labella, M. Dorigo, and J.-L. Deneubourg. Efficiency and Task Allocation in Prey Retrieval. In A. Ijspeert, M. Murata, and N. Wakamiya, editors, Biologically Inspired Approaches to Advanced Information Technology: First International Workshop, BioADIT 2004, volume 3141 of Lecture Notes in Computer Science, pages 274-289, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b101281
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T. H. Labella, M. Dorigo, and J.-L. Deneubourg. Self-Organised Task Allocation in a Group of Robots. In R. Alami, R. Chatila, and H. Asama, editors, Distributed Autonomous Robotic Systems 6, Proceedings of the 6th International Symposium on Distributed Autonomous Robotic Systems, pages 389-398, Tokyo, Japan, 2004. Springer.
© Springer 2004
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V. Trianni, E. Tuci, and M. Dorigo. Evolving Functional Self-Assembling in a Swarm of Autonomous Robots. In S. Schaal, A. Ijspeert, A. Billard, S. Vijayakumar, J. Hallam, and J.-A. Meyer, editors, From Animals to Animats 8: Proceedings of the Eighth International Conference on Simulation of Adaptive Behavior, pages 405-414, Cambridge, MA, 2004. MIT Press.
© MIT Press 2004
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M. Dorigo, E. Tuci, R. Gro├č, V. Trianni, T. H. Labella, S. Nouyan, C. Ampatzis, J.-L. Deneubourg, G. Baldassarre, S. Nolfi, F. Mondada, D. Floreano, and L. M. Gambardella. The SWARM-BOTS Project. In E. Sahin and W. M. Spears, editors, Swarm Robotics: SAB 2004 International Workshop, volume 3342 of Lecture Notes in Computer Science, pages 31-44, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b105069
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C. Blum and M. Dorigo. Deception in Ant Colony Optimization. In M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2004 - Fourth International Workshop, volume 3172 of Lecture Notes in Computer Science, pages 118-129, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b99492
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R. Gro├č and M. Dorigo. Cooperative Transport of Objects of Different Shapes and Sizes. In M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2004 - Fourth International Workshop, volume 3172 of Lecture Notes in Computer Science, pages 106-117, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b99492
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V. Trianni, T. H. Labella, and M. Dorigo. Evolution of Direct Communication for a Swarm-bot Performing Hole Avoidance. In M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. St├╝tzle, editors, Ant Colony Optimization and Swarm Intelligence - Proceedings of ANTS 2004 - Fourth International Workshop, volume 3172 of Lecture Notes in Computer Science, pages 130-141, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b99492
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R. Gro├č and M. Dorigo. Group Transport of an Object to a Target That Only Some Group Members May Sense. In X. Yao, E. Burke, J. A. Lozano, J. Q. Smith, J. J. Merelo Guerv├│s, J. A. Bullinaria, J. Rowe, P. Ti├▒o, A. Kab├ín, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VIII: 8th International Conference, volume 3242 of Lecture Notes in Computer Science, pages 852-861, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b100601
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E. Tuci, V. Trianni, and M. Dorigo. Evolving the “Feeling” of Time Through Sensory-Motor Coordination: A Robot Based Model. In X. Yao, E. Burke, J. A. Lozano, J. Q. Smith, J. J. Merelo Guerv├│s, J. A. Bullinaria, J. Rowe, P. Ti├▒o, A. Kab├ín, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VIII: 8th International Conference, volume 3242 of Lecture Notes in Computer Science, pages 1001-1010, Berlin, Germany, 2004. Springer.
© Springer 2004 – http://dx.doi.org/10.1007/b100601
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M. Pavlin, H. H. Hoos, and T. St├╝tzle. Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness. In Y. Xiang and B. Chaib-draa, editors, Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, volume 2671 of Lecture Notes in Computer Science, pages 96-113, Berlin, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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K. Smyth, H. H. Hoos, and T. St├╝tzle. Iterated Robust Tabu Search for MAX-SAT. In Y. Xiang and B. Chaib-draa, editors, Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, volume 2671 of Lecture Notes in Computer Science, pages 129-144, Berlin, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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L. Paquete and T. St├╝tzle. A Two-Phase Local Search for the Biobjective Traveling Salesman Problem. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Evolutionary Multi-Criterion Optimization, Second International Conference, EMO 2003, volume 2632 of Lecture Notes in Computer Science, pages 479-493, Berlin, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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T. Schiavinotto and T. St├╝tzle. Search Space Analysis for the Linear Ordering Problem. In G. R. Raidl, J.-A. Meyer, M. Middendorf, S. Cagnoni, J. J. R. Cardalda, D. Corne, J. Gottlieb, A. Guillot, E. Hart, C. G. Johnson, and E. Marchiori, editors, Applications of Evolutionary Computing, volume 2611 of Lecture Notes in Computer Science, pages 322-333, Berlin, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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I. Dumitrescu and T. St├╝tzle. Combinations of Local Search and Exact Algorithms. In G. R. Raidl, J.-A. Meyer, M. Middendorf, S. Cagnoni, J. J. R. Cardalda, D. Corne, J. Gottlieb, A. Guillot, E. Hart, C. G. Johnson, and E. Marchiori, editors, Applications of Evolutionary Computing, volume 2611 of Lecture Notes in Computer Science, pages 211-223, Berlin, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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K. Socha, M. Sampels, and M. Manfrin. Ant Algorithms for the University Course Timetabling Problem with Regard to the State-of-the-Art. In Proceedings of 3rd European Workshop on Evolutionary Computation in Combinatorial Optimization (EvoCOP'2003), volume 2611 of Lecture Notes in Computer Science, Berlin, Germany, 2003. Springer-Verlag. Accettato per la pubblicazione.
© Springer-Verlag 2003
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O. Rossi-Doria, M. Sampels, M. Chiarandini, J. Knowles, M. Manfrin, M. Mastrolilli, L. Paquete, and B. Paechter. A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. In E. Burke and P. De Causmaecker, editors, Practice and Theory of Automated Timetabling IV: 4th International Conference, PATAT 2002, Gent, Belgium, August 21-23, 2002. Selected Revised Papers, volume 2740 of Lecture Notes in Computer Science, pages 329-351, Heidelberg, Germany, 2003. Springer-Verlag.
© Springer-Verlag 2003
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O. Rossi-Doria, M. Samples, M. Birattari, M. Chiarandini, M. Dorigo, L. M. Gambardella, J. Knowles, M. Manfrin, M. Mastrolilli, B. Paechter, L. Paquete, and T. St├╝tzle. A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. In E. Burke and P. Causmaecker, editors, 4th International Conference on the Practice and Theory of Automated Timetabling, volume 2740 of Lecture Notes in Computer Science, pages 329-351, Berlin, Germany, 2003. Springer.
© Springer 2003 – http://dx.doi.org/10.1007/b11828
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V. Trianni, R. Gro├č, T. H. Labella, E. Sahin, and M. Dorigo. Evolving Aggregation Behaviors in a Swarm of Robots. In W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler, editors, Advances in Artificial Life: 7th European Conference - ECAL 2003, volume 2801 of Lecture Notes in Artificial Intelligence, pages 865-874, Berlin, Germany, 2003. Springer.
© Springer 2003
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J. Handl, J. Knowles, and M. Dorigo. On the Performance of Ant-Based Clustering. In A. Abraham, M. K├Âppen, and K. Franke, editors, Design and application of hybrid intelligent systems, volume 104 of Frontiers in Artificial intelligence and Applications, pages 204-213, Amsterdam, The Netherlands, 2003. IOS Press.
© IOS Press 2003
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L. Paquete and T. St├╝tzle. Empirical Analysis of Tabu Search for the Lexicographic Optimization of the Examination Timetabling Problem. In E. Burke and P. Causmaecker, editors, Proceedings of PATAT 2002 - Fourth International Conference on the Practice and Theory of Automated Timetabling, pages 413-420, Gent, Belgium, 2002.
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M. Chiarandini and T. St├╝tzle. An Application of Iterated Local Search to the Graph Coloring Problem. In D. S. Johnson, A. Mehrotra, and M. Trick, editors, Proceedings of the Computational Symposium on Graph Coloring and its Generalizations, pages 112-125, Ithaca, NY, 2002.
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L. Paquete and T. St├╝tzle. An Experimental Investigation of Iterated Local Search for Coloring Graphs. In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of Evolutionary Computing, volume 2279 of Lecture Notes in Computer Science, pages 122-131, Berlin, Germany, 2002. Springer-Verlag.
© Springer-Verlag 2002
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M. Finger, T. St├╝tzle, and H. R. Louren├žo. Exploiting Fitness Distance Correlation of Set Covering Problems. In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of Evolutionary Computing, volume 2279 of Lecture Notes in Computer Science, pages 61-71, Berlin, Germany, 2002. Springer-Verlag.
© Springer-Verlag 2002
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T. St├╝tzle and S. Linke. Experiments with Variants of Ant Algorithms. In Proceedings of the First Spanish Congress on Evolutionary and Bio-inspired Algorithms (AEB'02), pages 253-259, M├ęrida, Spain, 2002.
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C. Blum, S. Correia, O. Rossi-Doria, M. Snoek, M. Dorigo, and B. Paechter. A GA Evolving Instructions for a Timetable Builder. In 4th International Conference on the Practice and Theory of Automated Timetabling, Gent, Belgium, August 2002.
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F. Mondada, G. C. Pettinaro, I. V. Kwee, A. Guignard, L. M. Gambardella, D. Floreano, S. Nolfi, J.-L. Deneubourg, and M. Dorigo. SWARM-BOT: A Swarm of Autonomous Mobile Robots with Self-Assembling Capabilities. In C. K. Hemelrijk and E. Bonabeau, editors, Proceedings of the International Workshop on Self-organisation and Evolution of Social Behaviour, pages 307-312, Monte Verità, Ascona, Switzerland, September 2002. University of Zurich.
© University of Zurich 2002
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G. C. Pettinaro, I. V. Kwee, L. M. Gambardella, F. Mondada, D. Floreano, S. Nolfi, J.-L. Deneubourg, and M. Dorigo. Swarm Robotics: A Different Approach to Service Robotics. In International Symposium on Robotics, ISR 2002, pages 71-76, Stockholm, Sweden, October 2002.
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M. Dorigo, M. Zlochin, N. Meuleau, and M. Birattari. Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods. In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of Evolutionary Computing: EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN, volume 2279 of Lecture Notes in Computer Science, pages 21-30, Berlin, Germany, 2002. Springer.
© Springer 2002
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L. Bianchi, L. M. Gambardella, and M. Dorigo. An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem. In J. J. Merelo Guervós, P. Adamidis, H.-G. Beyer, J.-L. Fernández-Villacanas, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VII: 7th International Conference, volume 2439 of Lecture Notes in Computer Science, pages 883-892, Berlin, Germany, 2002. Springer.
© Springer 2002
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M. Zlochin and M. Dorigo. Model-Based Search for Combinatorial Optimization: A Comparative Study. In J. J. Merelo Guervós, P. Adamidis, H.-G. Beyer, J.-L. Fernández-Villacanas, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VII: 7th International Conference, volume 2439 of Lecture Notes in Computer Science, pages 651-661, Berlin, Germany, 2002. Springer.
© Springer 2002
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L. Bianchi, L. M. Gambardella, and M. Dorigo. Solving the Homogeneous Probabilistic Traveling Salesman Problem by the ACO Metaheuristic. In M. Dorigo, G. Di Caro, and M. Sampels, editors, Ant Algorithms - Proceedings of ANTS 2002 - Third International Workshop, volume 2463 of Lecture Notes in Computer Science, pages 176-187, Berlin, Germany, 2002. Springer.
© Springer 2002
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M. Birattari, G. Di Caro, and M. Dorigo. Toward the Formal Foundation of Ant Programming. In M. Dorigo, G. Di Caro, and M. Sampels, editors, Ant Algorithms - Proceedings of ANTS 2002 - Third International Workshop, volume 2463 of Lecture Notes in Computer Science, pages 188-201, Berlin, Germany, 2002. Springer.
© Springer 2002
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E. Sahin, T. H. Labella, V. Trianni, J.-L. Deneubourg, P. Rasse, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, and M. Dorigo. SWARM-BOT: Pattern Formation in a Swarm of Self-Assembling Mobile Robots. In 2002 IEEE International Conference on Systems, Man and Cybernetics, pages 1-6, Piscataway, NJ, 2002. IEEE Press.
© IEEE Press 2002
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H. R. Louren├žo, O. Martin, and T. St├╝tzle. A Beginner's Introduction to Iterated Local Search. In Proceedings of the Fourth Metaheuristics Conference, pages 1-6, Porto, Portugal, 2001.
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M. den Besten and T. St├╝tzle. Neighborhoods Revisited: An Experimental Investigation into the Effectiveness of Variable Neighborhood Descent for Scheduling. In Proceedings of the 4th Metaheuristics International Conference, pages 545-550, Porto, Portugal, July 2001.
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C. Blum, A. Roli, and M. Dorigo. HC-ACO: The Hyper-Cube Framework for Ant Colony Optimization. In Proceedings of MIC'2001 - Metaheuristics International Conference, pages 399-403, Porto, Portugal, 2001.
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A. Roli, C. Blum, and M. Dorigo. ACO for Maximal Constraint Satisfaction Problems. In Proceedings of MIC'2001 - Metaheuristics International Conference, pages 187-191, Porto, Portugal, 2001.
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M. Dorigo. Ant Algorithms Solve Difficult Optimization Problems. In J. Kelemen, editor, Advances in Artificial Life: 6th European Conference - ECAL 2001, volume 2159 of Lecture Notes in Artificial Intelligence, pages 11-22, Berlin, Germany, 2001. Springer.
© Springer 2001
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M. den Besten, T. St├╝tzle, and M. Dorigo. Design of Iterated Local Search Algorithms: An Example Application to the Single Machine Total Weighted Tardiness Problem. In E. J. W. Boers, J. Gottlieb, P. L. Lanzi, R. Smith, S. Cagnoni, E. Hart, G. R. Raidl, and H. Tijink, editors, Applications of Evolutionary Computing: EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, EvoSTIM, volume 2037 of Lecture Notes in Computer Science, pages 441-452, Berlin, Germany, 2001. Springer.
© Springer 2001
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M. Dorigo and T. St├╝tzle. An Experimental Study of the Simple Ant Colony Optimization Algorithm. In N. Mastorakis, editor, Advances in Fuzzy Systems and Evolutionary Computation, Artificial Intelligence Series, pages 253-258, Dallas, TX, 2001. World Scientific and Engineering Society Press.
© World Scientific and Engineering Society Press 2001
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T. St├╝tzle, A. Gr├╝n, S. Linke, and M. R├╝ttger. A Comparison of Nature Inspired Heuristics on the Traveling Salesman Problem. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo Guerv├│s, and H.-P. Schwefel, editors, Proceedings of PPSN-VI, Sixth International Conference on Parallel Problem Solving from Nature, volume 1917 of Lecture Notes in Computer Science, pages 661-670, Berlin, Germany, 2000. Springer-Verlag.
© Springer-Verlag 2000
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Lazy Learning vs. Fuzzy Systems: Two multiple-model approaches for adaptive control. In ACIDCA 2000: International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications, pages 6-11, 2000.
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M. den Besten, T. St├╝tzle, and M. Dorigo. An Ant Colony Optimization Application to the Single Machine Total Weighted Tardiness Problem. In M. Dorigo, M. Middendorf, and T. St├╝tzle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles.
© IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles 2000
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M. Dorigo and S. Magdelyns. Clustering Ants: A JAVA Implementation. In M. Dorigo, M. Middendorf, and T. St├╝tzle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles.
© IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles 2000
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L. M. Gambardella and M. Dorigo. Ant Colony Optimization for the Sequential Ordering Problem. In M. Dorigo, M. Middendorf, and T. St├╝tzle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles.
© IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles 2000
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M. den Besten, T. St├╝tzle, and M. Dorigo. Ant Colony Optimization for the Total Weighted Tardiness Problem. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. J. Merelo Guerv├│s, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN VI: 6th International Conference, volume 1917 of Lecture Notes in Computer Science, pages 611-620, Berlin, Germany, 2000. Springer.
© Springer 2000
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H. H. Hoos and T. St├╝tzle. Systematic vs.\ Local Search for SAT. In W. Burgard, T. Christaller, and A. B. Cremers, editors, KI-99: Advances in Artificial Intelligence, volume 1701 of Lecture Notes in Artificial Intelligence, pages 289-293, Berlin, Germany, 1999. Springer-Verlag.
© Springer-Verlag 1999
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H. H. Hoos and T. St├╝tzle. Developing New Concepts to Characterise Empirical Phenomena. In A. Hoffmann, editor, Proceedings of the Workshop on Empirical AI, 16th International Joint Conference on Artificial Intelligence (IJCAI-99), pages 59-67, Stockholm, Sweden, 1999.
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T. St├╝tzle and H. H. Hoos. Analyzing the Run-time Behaviour of Iterated Local Search for the TSP. In C. Ribeiro, editor, Proceedings of the 3rd Metaheuristics International Conference, pages 449-453, Angra Dos Reis, Brazil, July 1999.
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M. Dorigo and G. Di Caro. Ant Colony Optimization: A New Meta-Heuristic. In P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors, IEEE Congress on Evolutionary Computation - CEC'99, pages 1470-1477, Piscataway, NJ, 1999. IEEE Press.
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E. Bonabeau, M. Dorigo, and G. Theraulaz. L'intelligence en essaim. In M.-P. Gleizes and P. Marcenac, editors, Ing├ęnierie des Syst├Ęmes Multi-Agents, JFIADSMA'99, pages 25-38, Paris, France, 1999. Hermes Science Publications.
© Hermes Science Publications 1999
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T. St├╝tzle. An Ant Approach to the Flow Shop Problem. In Proceedings of the 6$th$ European Congress on Intelligent Techniques & Soft Computing (EUFIT'98), pages 1560-1564, Aachen, Germany, 1998. Verlag Mainz, Wissenschaftsverlag.
© Verlag Mainz, Wissenschaftsverlag 1998
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T. St├╝tzle. Parallelization Strategies for Ant Colony Optimization. In A. E. Eiben, T. B├Ąck, M. Schoenauer, and H.-P. Schwefel, editors, Proceedings of PPSN-V, Fifth International Conference on Parallel Problem Solving from Nature, volume 1498 of Lecture Notes in Computer Science, pages 722-731, Berlin, Germany, 1998. Springer-Verlag.
© Springer-Verlag 1998
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H. H. Hoos and T. St├╝tzle. Evaluating Las Vegas Algorithms -- Pitfalls and Remedies. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI-98), pages 238-245, San Francisco, CA, 1998. Morgan Kaufmann Publishers.
© Morgan Kaufmann Publishers 1998
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T. St├╝tzle and H. H. Hoos. Improvements on the Ant System: Introducing the $\cal MAX$-$\cal MIN$ Ant System. In G. D. Smith, N. C. Steele, and R. F. Albrecht, editors, Artificial Neural Networks and Genetic Algorithms, pages 245-249, Vienna, Austria, 1998. Springer-Verlag.
© Springer-Verlag 1998
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H. H. Hoos and T. St├╝tzle. Some Surprising Regularities in the Behaviour of Stochastic Local Search. In M. Maher and J.-F. Puget, editors, Principles and Practice of Constraint Programming - CP98, volume 1520 of Lecture Notes in Computer Science, page 470, Berlin, Germany, 1998. Springer-Verlag.
© Springer-Verlag 1998
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T. St├╝tzle and H. H. Hoos. Ameisenalgorithmen zur L├Âsung kombinatorischer Optimierungsprobleme. In G. Grieser and W. S. Wittig, editors, Sechste Leipziger Informatiktage (LIT'98), Tagungsbericht, pages 71-76, 1998.
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G. Di Caro and M. Dorigo. Mobile Agents for Adaptive Routing. In H. El-Rewini, editor, Proceedings of the Thirty-First International Conference on System Sciences, pages 74-83, Los Alamitos, CA, 1998. IEEE Computer Society Press.
© IEEE Computer Society Press 1998 – http://dx.doi.org/10.1109/HICSS.1998.649179
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J. Urzelai, D. Floreano, M. Dorigo, and M. Colombetti. Incremental Robot Shaping. In J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 832-840, San Francisco, CA, 1998. Morgan Kaufmann Publishers.
© Morgan Kaufmann Publishers 1998
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G. Di Caro and M. Dorigo. Ant Colonies for Adaptive Routing in Packet-switched Communications Networks. In A. E. Eiben, T. B├Ąck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN V: 5th International Conference, volume 1498 of Lecture Notes in Computer Science, pages 673-682, Berlin, Germany, 1998. Springer.
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G. Di Caro and M. Dorigo. An Adaptive Multi-Agent Routing Algorithm Inspired by Ants Behavior. In K. A. Hawick and H. A. James, editors, Proceedings of PART98 - The 5th Australasian Conference on Parallel and Real-Time Systems, pages 261-272, Singapore, 1998. Springer.
© Springer 1998
BibTeX
G. Di Caro and M. Dorigo. Two Ant Colony Algorithms for Best-Effort Routing in Datagram Networks. In Y. Pan, S. G. Akl, and K. Li, editors, Parallel and Distributed Computing and Systems. Proceedings of the Tenth IASTED International Conference, pages 541-546, Anaheim, CA, 1998. IASTED/ACTA Press.
© IASTED/ACTA Press 1998
BibTeX
M. A. Wiering and M. Dorigo. Learning to Control Forest Fires. In H.-D. Haasis and K. C. Ranze, editors, Proceedings of the 12th International Symposium on Computer Science for Environmental Protection (UI'98), volume 18 of Umweltinformatik Aktuell Series, pages 378-388. Metropolis-Verlag, 1998.
© Metropolis-Verlag 1998
BibTeX
G. Di Caro and M. Dorigo. Adaptive Learning of Routing Tables in Communication Networks. In Proceedings of the Italian Workshop on Machine Learning, Turin, Italy, December 1997.
BibTeX
T. St├╝tzle and H. H. Hoos. The $\cal MAX$-$\cal MIN$ Ant System and Local Search for the Traveling Salesman Problem. In T. B├Ąck, Z. Michalewicz, and X. Yao, editors, Proceedings of the 1997 IEEE International Conference on Evolutionary Computation (ICEC'97), pages 309-314, Piscataway, NJ, 1997. IEEE Press.
© IEEE Press 1997
BibTeX
O. Steinmann, A. Strohmaier, and T. St├╝tzle. Tabu Search vs.\ Random Walk. In G. Brewka, C. Habel, and B. Nebel, editors, KI-97: Advances in Artificial Intelligence, volume 1303 of Lecture Notes in Artificial Intelligence, pages 337-348, Berlin, Germany, 1997. Springer-Verlag.
© Springer-Verlag 1997
BibTeX
T. St├╝tzle. $\cal MAX$-$\cal MIN$ Ant System for Combinatorial Optimization Problems. In O. Spaniol, editor, Innovationsmotor ”Graduiertenkolleg”, volume 21 of Aachener Beitr├Ąge zur Informatik, pages 95-112, 1997.
BibTeX
T. St├╝tzle and H. H. Hoos. The $\cal MAX$-$\cal MIN$ Ant System and Local Search for Combinatorial Optimization Problems: Towards Adaptive Algorithms for Global Optimization. In Proceedings of the 2nd International Conference on Metaheuristics, pages 191-193, Sophia Antipolis, France, July 1997.
BibTeX
H. Bersini, M. Birattari, and G. Bontempi. Combining Dynamic Programming and Neurocontrol: Some Basic Issues. In H. Bersini, M. Dorigo, P. Y. Glorennec, L. Jouffe, and E. Anquetil, editors, Third European Workshop on Reinforcement Learning, Rennes, France, 1997.
BibTeX
G. Bontempi and M. Birattari. Lazy learning indirect control for discrete time non-linear systems. In T. A. Johansen and B. A. Foss, editors, Abstracts of Workshop on Multiple Model Approaches to Modelling and Control, pages 72-80, Trondheim, Norway, 1997.
BibTeX
U. C. Sigmund and T. St├╝tzle. About Planning under Uncertainty in Dynamic Systems: Exploiting Probabilistic Information. In Workshop Notes of the AAAI Spring Symposium Workshop Planning with Incomplete Information, pages 107-109, 1996.
BibTeX
G. Bol, E. Hotz, and T. St├╝tzle. Neuronale Netze zur Klassifikation von Fehlern in der statistischen Proze├čregulierung. In H. Czap, P. Jaenecke, and H. P. Ohly, editors, Analogie in der Wissensrepr├Ąsentation: Case-Based Reasoning und r├Ąumliche Modelle, Fortschritte in der Wissensrepr├Ąsentation, Band 4, pages 186-199. Indeks Verlag, 1996.
© Indeks Verlag 1996
BibTeX
V. Calenbuhr, H. Bersini, and F. J. Varela. Immune Response toward Auto-Ag and Growing-Ag as a Funetion of Network Connectivity. In Proceedings of the German Conference on Bioinformatics, Leipzig, Germany, pages 179-180, 1996.
BibTeX
M. Colombetti, M. Dorigo, and G. Borghi. Robot shaping: The Hamster Experiment. In M. Jamshidi et al., editors, Proceedings of the Sixth International Symposium on Robotics and Manufacturing, ISRAM'96, Montpellier, France, 1996.
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BibTeX
L. M. Gambardella and M. Dorigo. Solving Symmetric and Asymmetric TSPs by Ant Colonies. In T. Baeck, T. Fukuda, and Z. Michalewicz, editors, IEEE International Conference on Evolutionary Computation - CEC'96, pages 622-627, Piscataway, NJ, 1996. IEEE Press.
BibTeX
H. Bersini, M. Dorigo, S. Langerman, G. Seront, and L. M. Gambardella. Results of the First International Contest on Evolutionary Optimisation. In T. Baeck, T. Fukuda, and Z. Michalewicz, editors, IEEE International Conference on Evolutionary Computation - CEC'96, pages 611-615, Piscataway, NJ, 1996. IEEE Press.
BibTeX
M. Dorigo and L. M. Gambardella. A Study of Some Properties of Ant-Q. In H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN IV: International Conference on Evolutionary Computation - The 4th International Conference on Parallel Problem Solving from Nature, volume 1141 of Lecture Notes in Computer Science, pages 656-665, Berlin, Germany, 1996. Springer.
BibTeX
T. St├╝tzle. A Neural Network Approach to Quality Control Charts. In J. Mira and F. Sandoval, editors, Proceedings of the International Workshop on Artificial Neural Networks, volume 930 of Lecture Notes in Computer Science, pages 1135-1141, Berlin, Germany, 1995. Springer-Verlag.
© Springer-Verlag 1995
BibTeX
M. J. Patel and M. Dorigo. Adaptive Learning of a Robot Arm. In T. C. Fogarty, editor, Evolutionary Computing, AISB Workshop, volume 993 of Lecture Notes in Computer Science, pages 180-194, Berlin, Germany, 1995. Springer.
BibTeX
L. M. Gambardella and M. Dorigo. Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem. In A. Prieditis and S. Russell, editors, Machine Learning: Proceedings of the Twelfth International Conference on Machine Learning, pages 252-260, San Francisco, CA, 1995. Morgan Kaufmann Publishers.
© Morgan Kaufmann Publishers 1995
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. New Results of an Ant System Approach Applied to the Asymmetric Traveling Salesman Problem. In I. H. Osman and J. P. Kelly, editors, Proceedings of the Metaheuristics International Conference, pages 356-360, Norwell, MA, 1995. Kluwer Academic Publishers.
© Kluwer Academic Publishers 1995
BibTeX
V. Gorrini and M. Dorigo. An Application of Evolutionary Algorithms to the Scheduling of Robotic Operations. In J.-M. Alliot, E. Lutton, E. Ronald, M. Schoenauer, and D. Snyers, editors, Artificial Evolution: European Conference, AE 95, volume 1063 of Lecture Notes in Computer Science, pages 345-354, Berlin, Germany, 1995. Springer.
BibTeX
V. Gorrini and M. Dorigo. Une application des algorithmes ├ęvolutifs ├á un probl├Ęme d'approvisionnement. In J.-M. Alliot, E. Lutton, E. Ronald, and M. Schoenauer, editors, Journ├ęes Evolution Artificielle, Evolution Artificielle 94, Toulouse, France, September 1994.
BibTeX
M. Dorigo and M. Colombetti. The Role of the Trainer in Reinforcement Learning. In S. Mahadevan et al., editors, Proceedings of MLC-COLT Workshop on Robot Learning, pages 37-45, New Brunswick, NJ, July 1994. Rutgers University.
© Rutgers University 1994
BibTeX
M. Dorigo. Learning by Probabilistic Boolean Networks. In D. Ruck, M. Wada, and D. Bounds, editors, 1994 IEEE International Conference on Neural Networks: IEEE World Congress on Computational Intelligence, pages 887-891, Piscataway, NJ, 1994. IEEE Press.
BibTeX
M. Dorigo and H. Bersini. A Comparison of Q-Learning and Classifier Systems. In D. Cliff, P. Husbands, J.-A. Meyer, and S. W. Wilson, editors, From Animals to Animats 3: Proceedings of the Third International Conference on Simulation of Adaptive Behavior, pages 248-255, Cambridge, MA, 1994. MIT Press.
© MIT Press 1994
BibTeX
M. Dorigo, M. J. Patel, and M. Colombetti. The Effect of Sensory Information on Reinforcement Learning by a Robot Arm. In M. Jamshidi, C. Nguyen, R. Lumia, and J. Yuh, editors, Robotics and Manufacturing: Recent Trends in Research, Education, and Applications (ISRAM'94), pages 83-88, New York, 1994. ASME Press.
© ASME Press 1994
BibTeX
M. Dorigo, V. Maniezzo, and D. Montanari. Classifier-Based Robot Control Systems. In Proceedings of IFAC/IFIP/IMACS International Symposium on Artificial Intelligence in Real-Time Control, pages 591-598, Delft, The Netherlands, 1992.
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. Distributed Optimization by Ant Colonies. In F. J. Varela and P. Bourgine, editors, Towards a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, pages 134-142, Cambridge, MA, 1992. MIT Press.
© MIT Press 1992
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. An Investigation of Some Properties of an Ant Algorithm. In R. M├Ąnner and B. Manderick, editors, Parallel Problem Solving from Nature - PPSN II: International Conference on Evolutionary Computation - The Second Conference on Parallel Problem Solving from Nature, pages 509-520, Amsterdam, The Netherlands, 1992. North-Holland.
© North-Holland 1992
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M. Colombetti and M. Dorigo. Learning to Control an Autonomous Robot by Distributed Genetic Algorithms. In J.-A. Meyer, H. L. Roitblat, and S. W. Wilson, editors, From Animals to Animats 2: Proceedings of the Second International Conference on Simulation of Adaptive Behavior, pages 305-312, Cambridge, MA, 1992. MIT Press.
© MIT Press 1992
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. Evolution Strategies and Genetic Algorithms in Optimization. In Annual Conference Operational Research Society of Italy: Operations Research and Knowledge-Based Models and Systems, Riva del Garda, Italy, September 1991.
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. Il Modello “Formiche”: Un Approccio Distribuito ai Problemi di Ottimizzazione Combinatoria. In Annual Conference Operational Research Society of Italy: Operations Research and Knowledge-Based Models and Systems, Riva del Garda, Italy, September 1991.
BibTeX
A. Bonarini, M. Dorigo, V. Maniezzo, and D. Sorrenti. AutonoMouse: An Experiment in Grounded Behaviors. In F. Esposito, editor, Atti del Secondo Workshop del Gruppo AI*IA di Interesse Speciale su Apprendimento Automatico, pages 115-126, Bari, Italy, 1991.
BibTeX
M. Dorigo and E. Sirtori. A Parallel Environment for Learning Systems. In F. Esposito, editor, Atti del Secondo Workshop del Gruppo AI*IA di Interesse Speciale su Apprendimento Automatico, pages 127-135, Bari, Italy, 1991.
BibTeX
M. Dorigo, B. Sch├Ątz, and D. Sorrenti. On the Use of Transputers to Implement Neural Networks. In S. Tzafestas, P. Borne, and L. Grandinetti, editors, Parallel and Distributed Computing in Engineering Systems, pages 359-364, Amsterdam, The Netherlands, 1991. Elsevier.
© Elsevier 1991
BibTeX
M. Dorigo. Message-Based Bucket Brigade: An Algorithm for the Apportionment of Credit Problem. In Y. Kodratoff, editor, Machine Learning-EWSL-91: European Working Session on Learning, volume 482 of Lecture Notes in Computer Science, pages 235-244, Berlin, Germany, 1991. Springer.
BibTeX
M. Dorigo and U. Schnepf. Organisation of Robot Behaviour Through Genetic Learning Processes. In Fifth International Conference on Advanced Robotics, 1991: Robots in Unstructured Environments, ICAR'91, pages 1456-1460, Piscataway, NJ, 1991. IEEE Press.
BibTeX
M. Dorigo and E. Sirtori. ALECSYS: A Parallel Laboratory for Learning Classifier Systems. In L. B. Booker and R. K. Belew, editors, Fourth International Conference on Genetic Algorithms, pages 296-302, San Mateo, CA, 1991. Morgan Kaufmann Publishers.
© Morgan Kaufmann Publishers 1991
BibTeX
M. Dorigo, B. Sch├Ątz, and D. Sorrenti. On the Use of Transputers to Implement Neural Networks. In S. Tzafestas, editor, Engineering systems with intelligence: Concepts, tools and applications, pages 179-186, Dordrecht, The Netherlands, 1991. Kluwer Academic Publishers.
© Kluwer Academic Publishers 1991
BibTeX
M. Dorigo. New Perspectives about Default Hierarchies Formation in Learning Classifier Systems. In E. Ardizzone, S. Gaglio, and F. Sorbello, editors, Trends in Artificial Intelligence: 2nd Congress of the Italian Association for Artificial Intelligence, AI*IA, volume 549 of Lecture Notes in Artificial Intelligence, pages 218-227, Berlin, Germany, 1991. Springer.
BibTeX
M. Dorigo and V. Maniezzo. Genetic Algorithms and Combinatorial Optimization in Machine Learning. In L. Saitta, editor, Atti del Primo Workshop del Gruppo AI*IA di Interesse Speciale su Apprendimento Automatico, pages 91-100, Turin, Italy, April 1990.
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. Genetic Algorithms and Highly Constrained Problems: The Time-Table Case. In H.-P. Schwefel and R. M├Ąnner, editors, Parallel Problem Solving from Nature: 1st Workshop, PPSN I, volume 496 of Lecture Notes in Computer Science, pages 55-59, Berlin, Germany, 1990. Springer.
BibTeX
A. Colorni, M. Dorigo, and V. Maniezzo. Genetic Algorithms: A New Approach to the Timetable Problem. In M. Akg├╝l et al., editors, Combinatorial Optimization, volume F 82 of NATO ASI Series, pages 235-239, Berlin, Germany, 1990. Springer.
© Springer 1990

Masters' thesis

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BibTeX
T. Liao. Improved ant colony optimization algorithms for continuous and mixed discrete-continuous optimization problems. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ing├ęnieur, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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V. Figueroa. Clustering methods applied to Wikipedia. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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BibTeX
T. Mouchart. Probl├ęmatique de l'├ęmergence de la coop├ęration dans une population multi-agent. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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W. Sun. Self-organized flocking with conflicting target directions. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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L. Comp├Ęre. Self Organised Task Allocation in Swarm Robotics: Partitionnement de t├óches vu comme un probl├Ęme du bandit ├á multiples bras. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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T. Roukny. Learning Dynamics in Networks. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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H. M. Phan. Etude et r├ęalisation orient├ęe objet d'une cellule minimale. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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M. Brambilla. Collective Transport with Obstacle Avoidance through Socially-Mediated Negotiation. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ing├ęnieur, Universit├ę libre de Bruxelles, Brussels, Belgium, 2011.
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BibTeX
N. Mathews. Towards Cooperation in a Heterogeneous Robot Swarm through Spatially Targeted Communication. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ing├ęnieur, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
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BibTeX
J. Dubois-Lacoste. Effective Stochastic Local Search Algorithms For Bi-Objective Permutation Flowshop Scheduling. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ing├ęnieur, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
pdf Abstract
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G. Verhaegen. Graph Analysis Applied to US Patents. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
pdf Abstract
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C. Schoonenbergh. Etude exploratoire de Linq. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
pdf Abstract
BibTeX
A. Werth. Prediction of breast cancer survival from gene expression data using a k-NN algorithm. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
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BibTeX
P. de Wachter. Combining graph topology with node features for semi supervised classification. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
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V. H. Bui. G├ęn├ęration de code ├á partir d'un diagramme d'├ętat-transition. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
pdf Abstract
BibTeX
A. Slosse. Etude topologique des r├ęseaux sociaux: un exemple: “les musiciens de Jazz”. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2010.
BibTeX
M. Brambilla. Work in Progress: Robot Counting and Group Formation. Master's thesis, Politecnico di Milano, Milan, Italy, 2009.
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BibTeX
A. Sidis. Etude du d├â┬ęplacement en essaim de robots e-puck. M├ęmoire d'Ing├â┬ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2009.
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BibTeX
A. Brutschy. Task Allocation in Swarm Robotics: Towards a method for self-organized allocation to complex tasks. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ing├â┬ęnieur, Universit├ę libre de Bruxelles, Brussels, Belgium, 2009.
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N. Catulle. Restructuration Orient├â┬ęe Objet d'un code de simulation de la r├â┬ęponse immunitaire. M├ęmoire d'Ing├â┬ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2009.
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M. Brambilla. A Reliable Distributed Algorithm for Group Size Estimation. M├ęmoire d'Ing├â┬ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2009.
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P. Vitale. G├ęn├ęration automatique de code ├á partir des diagrammes d'├ętat transition. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2008.
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K. Yagoubi. Evolution de design de circuit logique. M├ęmoire d'Ing├ęnieur Civil Informaticien, Universit├ę libre de Bruxelles, Brussels, Belgium, 2008.
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BibTeX
A. Decugni├Ęre. Conception et R├ęalisation d'une Palette de Transport Intelligente pour le Projet d'Intelligence en Essaim “Swarmanoid”. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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B. Poulain. D├ęveloppement d'une Strat├ęgie de Transport Collectif dans le cadre du Projet d'Intelligence en Essaim Swarmanoid : Sp├ęcification d'une Palette Intelligente et de Son Environnement de Simulation. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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O. Colot. Model Based Search: The Importance of “A Priori” Knowledge. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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T. Huynh-Trung. Colonie de fourmis et optimisation multicrit├Ęre. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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M. Zekkri. Mod├ęlisation et exp├ęrimentation sur une t├óche de tri collectif avec les e-pucks. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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L. Bury. Conception et validation d'un simulateur pour les robots e-pucks. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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BibTeX
A. Dubois. Etude d├ętaill├ęes des capteurs et effecteurs de l'e-puck. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
BibTeX
O. D├ędriche. Mod├ęlisation et exp├ęrimentation sur une t├óche de choix collectif avec les e-pucks. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
BibTeX
F. Cuffaro. Robots Chain Construction Using Swarm Intelligence. Master's thesis, Politecnico di Milano, Milan, Italy, 2007.
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BibTeX
G. Pini. Strategie evolutive per compiti di apprendimento sociale in robot autonomi. Master's thesis, Politecnico di Milano, Milan, Italy, 2007.
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BibTeX
D. D. Tran-Dinh. Simulation 3D d'un groupe de robots. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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BibTeX
M. Cirillo. A Formal Approach to the Comparison of Control Algorithms for Swarm Robotics. Master's thesis, Politecnico di Milano, Milan, Italy, 2005.
BibTeX
M. Manfrin. Ant Colony Optimization for the Vehicle Routing Problem. Master's thesis, Universit├ę libre de Bruxelles, Brussels, Belgium, Sep 2004.
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BibTeX
S. Lanza. Active Vision in a Collective Robotics Domain. Master's thesis, Politecnico di Milano, Milan, Italy, 2004.
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BibTeX
R. Ghizzioli. An Insect-Based Approach to the Dynamic Task Allocation Problem. Master's thesis, Università di Milano, Milan, Italy, 2004.
BibTeX
P. E. Meyer. Exp├ęriences sur le comportement collectif et social des robots. Master's thesis, Universit├ę libre de Bruxelles, Brussels, Belgium, 2003.
pdf
BibTeX
D. Darquennes. Implementation and Applications of Ant Colony Algorithms. Master's thesis, Universit├ę de Namur, Namur, Belgium, 2003.
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BibTeX
J. Handl. Ant-based Methods for Tasks of Clustering and Topographic Mapping: Improvements, Evaluation and Comparison with Alternative Methods. Master's thesis, Universit├Ąt Erlangen-N├╝rnberg, N├╝rnberg, Germany, 2003.
pdf
BibTeX
M. Manfrin. Metaeuristiche per la creazione degli orari del corsi universitari. Master's thesis, Università degli Studi di Firenze, Firenze, Italy, 2003.
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BibTeX
S. Nouyan. Implementation of an Insect Agent Based Model for Distributed Factory Coordination. Master's thesis, Tech. Universit├Ąt M├╝nchen, M├╝nchen, Germany, 2002.
BibTeX
M. Birattari. On the Formal Foundation of Ant Programming. Master's thesis, Universit├ę libre de Bruxelles, Brussels, Belgium, 2001.
BibTeX
A. Chouaya. Conception et impl├ęmentation en Java d'un simulateur du comportement de tri et de rangement chez les fourmis. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2001.
BibTeX
S. Magdelyns. Impl├ęmentation en Java d'algorithmes bas├ęs sur le comportement des fourmis pour l'analyse et la classification de donn├ęes. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
BibTeX
P.-A. Fran├žois. Missing Title. Master's thesis, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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BibTeX
M. den-Besten. Ants for the Single Machine Total Weighted Tardiness Scheduling Problem. Master's thesis, University of Amsterdam, Amsterdam, The Netherlands, 2000.
BibTeX
M. Birattari. Modelli Locali per l'Apprendimento: dall'approccio neuro-fuzzy al lazy learning. Master's thesis, Politecnico di Milano, Milan, Italy, 1997.
BibTeX
E. Persico. Unknown Title. Master's thesis, Politecnico di Milano, Milan, Italy, 1997.
BibTeX
T. St├╝tzle. Vergleich neuronaler Netze zu Qualit├Ątsregelkarten ohne Ged├Ąchtnis. Master's thesis, Universit├Ąt Karlsruhe, Karlsruhe, Germany, 1994.

Miscellaneous

URL Abstract
BibTeX
F. Abbaci-Gaultier. Test. Test, test 2011. Test.
BibTeX
M. Birattari. Race. \textsfR package, 2003. \texttthttp://cran.r-project.org.
BibTeX
M. Birattari and G. Bontempi. Lazy. \textsfR package, 2003. \texttthttp://cran.r-project.org.
BibTeX
G. Di Caro and M. Dorigo. Extending AntNet for best-effort Quality-of-Service routing. Unpublished presentation at \em ANTS'98 - From Ant Colonies to Artificial Ants: First International Workshop on Ant Colony Op, October 1998.
BibTeX
G. Di Caro and M. Dorigo. Distributed Reinforcement Agents for Adaptive Routing in Communication Networks. Unpublished presentation at \em Third European Workshop on Reinforcement Learning (EWRL-3), Rennes, France, October 1997.
BibTeX
G. Di Caro and M. Dorigo. AntNet: A Mobile Agents Approach to Adaptive Routing in Communication Networks. Unpublished presentation at \em Ninth Dutch Conference on Artificial Intelligence (NAIC '97), November 1997.
BibTeX
A. Colorni, M. Dorigo, F. Maffioli, V. Maniezzo, G. Righini, and M. Trubian. Heuristics from Nature for Hard Combinatorial Problems. Unpublished presentation at \em IFORS 93 - XIII World Conference on Operations Research, July 1993.
URL Abstract
BibTeX
F. Abbaci-Gaultier. WWW. WWWWW, WWW 1984. WWWW.

PhD thesis

BibTeX
M. Birattari. The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective. PhD thesis, Universit├ę libre de Bruxelles, Brussels, Belgium, 2004.
BibTeX
T. St├╝tzle. Local Search Algorithms for Combinatorial Problems -- Analysis, Improvements, and New Applications. PhD thesis, Technischen Universit├Ąt Darmstadt, Darmstadt, Germany, 1998.
BibTeX
M. Dorigo. The Robot Shaping Approach to Behavior Engineering. Th├ęse d'Agr├ęgation de l'Enseignement Sup├ęrieur, ├ëcole polytechnique de Bruxelles, Universit├ę libre de Bruxelles, 1995.
BibTeX
M. Dorigo. Optimization, Learning and Natural Algorithms (in Italian). PhD thesis, Dipartimento di Elettronica, Politecnico di Milano, Milan, Italy, 1992.

Proceedings

BibTeX
H. H. Hoos and T. St├╝tzle, editors. Proceedings of the IJCAI-03 Workshop on Stochastic Search Algorithms, August 2003.
BibTeX
H. H. Hoos and T. St├╝tzle, editors. Proceedings of the IJCAI-01 Workshop on Stochastic Search Algorithms, August 2001.
BibTeX
H. H. Hoos and T. St├╝tzle, editors. Proceedings of the IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence, August 2001.
BibTeX
H. H. Hoos and T. St├╝tzle, editors. Proceedings of the ECAI'00 Workshop on Empirical Methods in Artificial Intelligence, August 2000.
BibTeX
M. Dorigo, M. Middendorf, and T. St├╝tzle, editors. Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms. IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles, September 2000.

Technical reports

URL
BibTeX
J. Dubois-Lacoste, M. L├│pez-Ib├í├▒ez, and T. St├╝tzle. Adaptive ”Anytime” Two-Phase Local Search. Technical Report TR/IRIDIA/2009-026, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, October 2009.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem: A Comparison to Progressive Approximation, the Aggregation Approach, and Simulated Annealing. Technical Report TR/IRIDIA/2009-025, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, October 2009.
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F. Hutter and M. Montes de Oca. SLS-DS 2009: Doctoral Symposium on Engineering Stochastic Local Search Algorithms. Technical Report TR/IRIDIA/2009-024, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, August 2009.
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M. Montes de Oca, E. Ferrante, N. Mathews, M. Birattari, and M. Dorigo. Optimal Collective Decision-Making through Social Influence and Different Action Execution Times. Technical Report TR/IRIDIA/2009-023, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, August 2009.
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R. O'Grady, R. Gro├č, A. Christensen, and M. Dorigo. Distributed Control to Implement Self-Assembly Strategies for the Hill Crossing Task. Technical Report TR/IRIDIA/2009-022, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, August 2009.
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M. S. bin Hussin and T. St├╝tzle. Hierarchical Iterated Local Search for the Quadratic Assignment Problem. Technical Report TR/IRIDIA/2009-021, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2009.
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J. Dubois-Lacoste, M. L├│pez-Ib├í├▒ez, and T. St├╝tzle. Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. Technical Report TR/IRIDIA/2009-020, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2009.
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M. L├│pez-Ib├í├▒ez and T. St├╝tzle. An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. Technical Report TR/IRIDIA/2009-019, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2009.
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M. Birattari, Z. Yuan, P. Balaprakash, and T. St├╝tzle. F-Race and Iterated F-Race: An Overview. Technical Report TR/IRIDIA/2009-018, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2009.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Technical Report TR/IRIDIA/2009-017, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2009.
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M. Brambilla and S. Magnenat. ASEBA for ARGoS. Technical Report TR/IRIDIA/2009-016, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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M. L├│pez-Ib├í├▒ez, L. Paquete, and T. St├╝tzle. Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. Technical Report TR/IRIDIA/2009-015, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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?. Guti├ęrrez, A. Campo, D. Fern├índez, F. Monasterio-Huelin, and L. Magdalena. Social Odometry: A Self-Organized Distributed Location Algorithm. Technical Report TR/IRIDIA/2009-014, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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M. Dorigo and T. St├╝tzle. Ant Colony Optimization: Overview and Recent Advances. Technical Report TR/IRIDIA/2009-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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C. Twomey, T. St├╝tzle, M. Dorigo, M. Manfrin, M. Birattari, and F. Abbaci-Gaultier. An Analysis of Communication Policies for Homogeneous Multi-colony ACO Algorithms. Technical Report TR/IRIDIA/2009-012, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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R. O'Grady, R. Gro├č, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Swarm-bots to the Rescue. Technical Report TR/IRIDIA/2009-011, IRIDIA, Universit├ę Libre de Bruxelles, May 2009.
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E. Ferrante. A Control Architecture for a Heterogeneous Swarm of Robots: The Design of a Modular Behavior-based Architecture. Technical Report TR/IRIDIA/2009-010, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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G. Pini. Towards Collective Robotics in a 3D Space: Simulation With Hand-bot Robots. Technical Report TR/IRIDIA/2009-009, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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F. Sambo, M. Montes de Oca, B. Di Camillo, and T. St├╝tzle. On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error. Technical Report TR/IRIDIA/2009-008, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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A. Brutschy. Task Allocation in Swarm Robotics. Towards a Method for Self-Organized Allocation to Complex Tasks. Technical Report TR/IRIDIA/2009-007, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2009.
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G. Pini, A. Brutschy, M. Birattari, and M. Dorigo. Interference Reduction Through Task Partitioning in a Robotic Swarm. Technical Report TR/IRIDIA/2009-006, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, April 2009.
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L. Paquete and T. St├╝tzle. On the Performance of Local Search for the Biobjective Traveling Salesman Problem. Technical Report TR/IRIDIA/2009-005, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, March 2009.
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R. O'Grady, A. Christensen, and M. Dorigo. Supervised Group Size Regulation in a Heterogeneous Robotic Swarm. Technical Report TR/IRIDIA/2009-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, March 2009.
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C. Piscopo and M. Birattari. On the Role of Correspondence in the Similarity Approach. Technical Report TR/IRIDIA/2009-003, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, February 2009.
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M. Montes de Oca, T. St├╝tzle, K. Van den Enden, and M. Dorigo. Incremental Social Learning in Particle Swarms. Technical Report TR/IRIDIA/2009-002, IRIDIA, Facult├ę des Sciences Appliqu├ęes, Universit├ę Libre de Bruxelles, 2009.
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M. Montes de Oca, J. Pe├▒a, T. St├╝tzle, and M. Dorigo. Heterogeneous Particle Swarm Optimizers. Technical Report TR/IRIDIA/2009-001, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2009.
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P. Balaprakash, M. Birattari, T. St├╝tzle, Z. Yuan, and M. Dorigo. Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem. Technical Report TR/IRIDIA/2008-020, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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A. Decugni├Ęre, B. Poulain, A. Campo, B. Tartini, M. Os├ęe, M. Dorigo, and M. Birattari. The cart-bot and the cooperative transport of multiple objects in the swarmanoid project. Technical Report TR/IRIDIA/2008-014, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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C. Piscopo and M. Birattari. The explanation of the success of science. Technical Report TR/IRIDIA/2008-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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M. Birattari, E. Tuci, M. Dorigo, M. del Rey Zapatero, T. Vinko, and D. Izzo. Self-organizing and scalable shape formation for a swarm of pico satellites. Technical Report TR/IRIDIA/2008-009, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2008.
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S. Nouyan, R. Gro├č, M. Bonani, F. Mondada, and M. Dorigo. Teamwork in Self-Organised Robot Colonies. Technical Report TR/IRIDIA/2008-005, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, February 2008.
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C. Ampatzis, E. Tuci, V. Trianni, A. Christensen, and M. Dorigo. Evolving Autonomous Self-Assembly in Homogeneous Robots. Technical Report TR/IRIDIA/2008-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2008.
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Y. Borenstein and C. Philemotte. Preprocessing Fitness Functions. Technical Report TR/IRIDIA/2008-003, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2008.
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A. Christensen, R. O'Grady, and M. Dorigo. From Fireflies to Fault Tolerant Swarms of Robots. Technical Report TR/IRIDIA/2008-002, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2008.
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R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Multi-Robot Morphogenesis using Directional Self-Assembly. Technical Report TR/IRIDIA/2008-001, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2008.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Adaptive sample size and importance sampling in estimation-based local search for stochastic combinatorial optimization: A complete analysis. Technical Report TR/IRIDIA/2007-015, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos. SLS-DS 2007: Doctoral symposium on engineering stochastic local search algorithms. Technical Report TR/IRIDIA/2007-014, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. Frankenstein's PSO: An Engineered Composite Particle Swarm Optimization Algorithm. Technical Report TR/IRIDIA/2007-006, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2007.
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P. Balaprakash, M. Birattari, and T. St├╝tzle. Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-based Local Search for the Probabilistic Traveling Salesman Problem. Technical Report TR/IRIDIA/2007-022, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, December 2007.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. An Experimental Study of Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Technical Report TR/IRIDIA/2007-021, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, December 2007.
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K. Socha and M. Dorigo. Ant Colony Optimization for Mixed-Variable Optimization Problems. Technical Report TR/IRIDIA/2007-019, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, October 2007.
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C. Piscopo and M. Birattari. On the Use of Probability in Artificial Intelligence: The Metaphysical Character of the Non-Adequacy Claim. Technical Report TR/IRIDIA/2007-018, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, October 2007.
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M. Montes de Oca. Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution. Technical Report TR/IRIDIA/2007-017, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, September 2007.
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D. Venet, H. Bersini, and H. Iba. MetaClustering: Discovery of The Different Sample Clusterings in Gene Expression Data. Technical Report TR/IRIDIA/2007-016, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, September 2007.
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E. Ridge, T. St├╝tzle, M. Birattari, and H. H. Hoos. SLS-DS2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms. Technical Report TR/IRIDIA/2007-014, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, September 2007.
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E. Tuci and C. Ampatzis. Evolution of Acoustic Communication Between Two Cooperating Robots. Technical Report TR/IRIDIA/2007-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2007.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Sampling Strategies and Local Search for Stochastic Combinatorial Optimization. Technical Report TR/IRIDIA/2007-012, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, June 2007.
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P. Balaprakash, M. Birattari, and T. St├╝tzle. Improvement Strategies for the F-Race algorithm: Sampling Design and Iterative Refinement. Technical Report TR/IRIDIA/2007-011, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2007.
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A. Christensen, R. O'Grady, M. Birattari, and M. Dorigo. Exogenous Fault Detection in a Collective Robotic Task. Technical Report TR/IRIDIA/2007-010, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2007.
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A. Christensen, R. O'Grady, and M. Dorigo. A Mechanism to Self-Assemble Patterns with Autonomous Robots. Technical Report TR/IRIDIA/2007-009, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, May 2007.
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R. O'Grady, R. Gro├č, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Performance Benefits of Self-Assembly in a Swarm-Bot. Technical Report TR/IRIDIA/2007-008, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, April 2007.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. Technical Report TR/IRIDIA/2007-006, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, March 2007.
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M. Birattari, P. Balaprakash, T. St├╝tzle, and M. Dorigo. Estimation-based Local Search for Stochastic Combinatorial Optimization. Technical Report TR/IRIDIA/2007-003, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, February 2007.
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S. Nouyan and M. Dorigo. Path Formation in a Robot Swarm. Technical Report TR/IRIDIA/2007-002, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, February 2007.
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C. Piscopo and M. Birattari. Philippe Smets and the Transferable Belief Model: An epistemological perspective. Technical Report TR/IRIDIA/2007-001, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, January 2007.
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P. Pellegrini and M. Birattari. Some Combinatorial Optimization Problems on which Ant Colony Optimization is Invariant. Technical Report TR/IRIDIA/2006-026, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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M. Dorigo, M. Birattari, and T. St├╝tzle. Ant colony optimization. Artificial ants as a computational intelligence technique. Technical Report TR/IRIDIA/2006-023, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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A. Campo, S. Nouyan, M. Birattari, R. Gro├č, and M. Dorigo. Negotiation of goal direction for cooperative transport. Technical Report TR/IRIDIA/2006-014, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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M. Montes de Oca, T. St├╝tzle, M. Birattari, and M. Dorigo. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions. Technical Report TR/IRIDIA/2006-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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P. Balaprakash, M. Birattari, T. St├╝tzle, and M. Dorigo. Incremental Local Search in Ant Colony Optimization: Why it Fails for the Quadratic Assignement Problem. Technical Report TR/IRIDIA/2006-011, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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P. Pellegrini and M. Birattari. The relevance of tuning the parameters of metaheuristics. A case study: The vehicle routing problem with stochastic demand. Technical Report TR/IRIDIA/2006-008, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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M. Manfrin, M. Birattari, T. St├╝tzle, and M. Dorigo. Parallel Ant Colony Optimization for the Traveling Salesman Problem. Technical Report TR/IRIDIA/2006-007, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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M. Birattari, P. Pellegrini, and M. Dorigo. On the invariance of ant colony optimization for the traveling salesman problem. Technical Report TR/IRIDIA/2006-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2006.
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K. Socha and C. Blum. Ant Colony Optimization. Technical Report TR/IRIDIA/2006-009, IRIDIA, Universit├ę Libre de Bruxelles, April 2006.
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H. Bersini. Formalizing Emergence: the Natural After-Life of Artificial Life. Technical Report TR/IRIDIA/2006-006, IRIDIA, Universit├ę Libre de Bruxelles, March 2006.
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F. Vicentini and E. Tuci. Swarmod: a 2D sbot's simulator. Technical Report TR/IRIDIA/2006-005, IRIDIA, Universit├ę Libre de Bruxelles, February 2006.
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R. Ruiz and T. St├╝tzle. An Iterated Greedy Heuristic for the Sequence Dependent Setup Times Flowshop Problem with Makespan and Weighted Tardiness Objectives. Technical Report TR/IRIDIA/2006-002, IRIDIA, Universit├ę Libre de Bruxelles, January 2006. Submitted to European Journal of Operational Research.
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L. Paquete and T. St├╝tzle. Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review. Technical Report TR/IRIDIA/2006-001, IRIDIA, Universit├ę Libre de Bruxelles, January 2006. Submitted.
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M. Birattari, P. Pellegrini, and M. Dorigo. On the Invariance of Ant System. Technical Report TR/IRIDIA/2005-036, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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M. Birattari, M. Zlochin, and M. Dorigo. Towards a Theory of Practice in Metaheuristics Design. A Machine Learning Perspective. Technical Report TR/IRIDIA/2005-030, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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P. Pellegrini and M. Birattari. Instance generator for the vehicle routing problem with stochastic demand. Technical Report TR/IRIDIA/2005-010, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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M. Birattari. The IridiaTrCover package for \LaTeX: How to typeset documents for the IRIDIA - Technical Report Series. Technical Report TR/IRIDIA/2005-006, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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R. Ghizzioli, S. Nouyan, M. Birattari, and M. Dorigo. An ant-based algorithm for the heterogeneous dynamic task allocation problem. Technical Report TR/IRIDIA/2005-005, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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M. Birattari, P. Balaprakash, and M. Dorigo. ACO/F-Race: Ant colony optimization and racing techniques for combinatorial optimization under uncertainty. Technical Report TR/IRIDIA/2005-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2005.
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C. Blum and K. Socha. Training feed-forward neural networks with ant colony optimization: An application to pattern classification. Technical Report TR/IRIDIA/2005-038, IRIDIA, Universit├ę Libre de Bruxelles, December 2005.
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H. Bersini, T. Lenaerts, and F. C. Santos. Growing Biological Networks: Beyond the Gene-Duplication Model. Technical Report TR/IRIDIA/2005-035, IRIDIA, Universit├ę Libre de Bruxelles, December 2005.
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T. Lenaerts, A. Defaweux, P. van Remortel, and A. Now├ę. Evolutionary Game Dynamics of Intrademic Multilevel Selection. Technical Report TR/IRIDIA/2005-034, IRIDIA, Universit├ę Libre de Bruxelles, December 2005.
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T. Lenaerts and H. Bersini. How do dynamics and meta-dynamics cooperatively shape the topology of chemical reaction networks?. Technical Report TR/IRIDIA/2005-033, IRIDIA, Universit├ę Libre de Bruxelles, December 2005.
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L. Paquete, T. St├╝tzle, and M. L├│pez-Ib├í├▒ez. On the Design and Analysis of SLS-Algorithms for Multiobjective Combinatorial Optimization Problems. Technical Report TR/IRIDIA/2005-029, IRIDIA, Universit├ę Libre de Bruxelles, November 2005.
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P. Balaprakash. Ant Colony Optimization under Uncertainty. Technical Report TR/IRIDIA/2005-028, IRIDIA, Universit├ę Libre de Bruxelles, November 2005.
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L. Paquete, T. St├╝tzle, and M. L├│pez-Ib├í├▒ez. On the Design and Analysis of SLS Algorithms for Multiobjective Combinatorial Optimization Problems. Technical Report TR/IRIDIA/2005-027, IRIDIA, Universit├ę Libre de Bruxelles, November 2005. Submitted.
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H. Bersini. La vie artificielle ou la dissection digitale. Technical Report TR/IRIDIA/2005-022, IRIDIA, Universit├ę Libre de Bruxelles, October 2005.
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R. O'Grady. Adaptive Swarm Robotics in Rough Terrain Navigation. Technical Report TR/IRIDIA/2005-017, IRIDIA, Universit├ę Libre de Bruxelles, October 2005.
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P. Pellegrini. Application of Two Nearest Neighbor Approaches to a Rich Vehicle Routing Problem. Technical Report TR/IRIDIA/2005-015, IRIDIA, Universit├ę Libre de Bruxelles, October 2005.
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A. Christensen. Efficient Neuro-Evolution of Hole-avoidance and Phototaxis for a Swarm-bot. Technical Report TR/IRIDIA/2005-014, IRIDIA, Universit├ę Libre de Bruxelles, October 2005.
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W. Benfold, M. Manfrin, A. M. R. Manso, and S. Spinella. A Genetic Algorithm for 2D Glass Cutting Problem. Technical Report TR/IRIDIA/2005-013, IRIDIA, Universit├ę Libre de Bruxelles, September 2005.
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M. Birattari. The IridiaTrCover package for LATEX: How to typeset documents for the IRIDIA ? Technical Report Series. Technical Report TR/IRIDIA/2005-006, IRIDIA, Universit├ę Libre de Bruxelles, April 2005.
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T. Lenaerts, B. Jansen, K. Tuyls, and B. De Vylder. The Evolutionary Language Game: an orthogonal approach. Technical Report TR/IRIDIA/2005-001, IRIDIA, Universit├ę Libre de Bruxelles, January 2005.
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto. Hybrid Metaheuristics for the vehicle routing problem with stochastic demands. Technical Report IDSIA-06-05, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland, 2005.
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M. Birattari. Notes on the existence of the expected value. Technical Report TR/IRIDIA/2004-020, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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R. Ghizzioli, S. Nouyan, M. Birattari, and M. Dorigo. An ant-based algorithm for the dynamic task allocation problem. Technical Report TR/IRIDIA/2004-016, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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T. H. Labella and M. Birattari. Polyphemus: De Abacorum Racemo. Technical Report TR/IRIDIA/2004-015, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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M. Birattari. On the estimation of the expected performance of a metaheuristic on a class of instances. How many instances, how many runs?. Technical Report TR/IRIDIA/2004-001, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, and O. Rossi-Doria. Research on the vehicle routing problem with stochastic demand. Technical Report IDSIA-07-04, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland, 2004.
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, and O. Rossi-Doria. Research on the vehicle routing problem with stochastic demands. Technical Report IDSIA-07-04, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland, 2004.
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L. Bianchi, M. Birattari, M. Chiarandini, M. Manfrin, M. Mastrolilli, L. Paquete, O. Rossi-Doria, and T. Schiavinotto. Metaheuristics for the vehicle routing problem with stochastic demands. Technical Report IDSIA-06-04, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland, 2004.
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L. Paquete, T. Schiavinotto, and T. St├╝tzle. On Local Optima in Multiobjective Combinatorial Optimization Problems. Technical Report AIDA-04-10, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, November 2004.
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M. Risler, M. Chiarandini, L. Paquete, T. Schiavinotto, and T. St├╝tzle. An algorithm for the car sequencing problem of the ROADEF 2005 Challenge. Technical Report AIDA-04-06, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, March 2004.
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G. Bontempi, M. Birattari, and P. E. Meyer. Combining lazy learning, racing and subsampling for effective feature selection. Technical Report 527, D├ępartement d'Informatique, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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G. Bontempi and M. Birattari. Sample average approximation for model selection. Technical Report 525, D├ępartement d'Informatique, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2004.
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M. Birattari and G. Bontempi. The lazy package for R. Lazy learning for local regression. Technical Report TR/IRIDIA/2003-038, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2003.
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M. Birattari. The race package for R. Racing methods for the selection of the best. Technical Report TR/IRIDIA/2003-037, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2003.
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C. Piscopo and M. Birattari. Metaphysical Arguments in Artificial Intelligence: A case study. Technical Report TR/IRIDIA/2003-026, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2003.
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I. Dumitrescu and T. St├╝tzle. A Survey of Methods that Combine Local Search and Exact Algorithms. Technical Report AIDA-03-07, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2003. Submitted to European Journal of Operational Research.
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M. Chiarandini, M. Birattari, K. Socha, and O. Rossi-Doria. An effective hybrid approach for the university course timetabling problem. Technical Report AIDA-03-05, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, Darmstadt, Germany, 2003.
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M. Chiarandini, K. Socha, M. Birattari, and O. Rossi-Doria. International timetabling competition. A hybrid approach. Technical Report AIDA-03-04, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, Darmstadt, Germany, 2003.
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M. Chiarandini, I. Dumitrescu, and T. St├╝tzle. Local Search for the Graph Colouring Problem--A Computational Study. Technical Report AIDA-03-01, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2003.
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T. St├╝tzle. Iterated Local Search for the Quadratic Assignment Problem (Revised Version). Technical Report , FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2003.
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C. Piscopo and M. Birattari. Invention vs.\ Discovery. A Critical Discussion. Technical Report TR/IRIDIA/2002-13, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2002.
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C. Piscopo and M. Birattari. Probabilistic models in artificial intelligence. An epistemological analysis of the debate on their adequacy. Technical Report TR/IRIDIA/2002-026, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2002.
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O. Rossi-Doria, M. Sampels, J. Knowles, M. Manfrin, M. Birattari, M. Chiarandini, M. Mastrolilli, B. Paechter, M. Dorigo, L. M. Gambardella, L. Paquete, and T. St├╝tzle. A comparison of the performance of different metaheuristics on the timetabling problem. Technical Report IDSIA-18-02, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland, 2002.
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M. Chiarandini and T. St├╝tzle. An Experimental Analysis of Metaheuristics for Course Timetabling. Technical Report AIDA-02-04, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2002.
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C. Piscopo and M. Birattari. Probability theory and intrinsically non-stochastic phenomena in AI: How to reject a metaphysical issue. Technical Report AIDA-02-04, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, Darmstadt, Germany, 2002.
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M. Birattari, T. St├╝tzle, L. Paquete, and K. Varrentrapp. A Racing Algorithm for Configuring Metaheuristics. Technical Report AIDA-02-01, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, Darmstadt, Germany, 2002.
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K. Varrentrapp, T. St├╝tzle, and V. Maniezzo. The Long Term Car Pooling Problem - On the Soundness of the Problem Formulation and Proof of NP-completeness. Technical Report AIDA-02-03, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2002.
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L. Paquete and T. St├╝tzle. Empirical Analysis of Tabu Search for the Lexicographic Optimization of the Examination Timetabling Problem. Technical Report AIDA-02-02, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2002.
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M. Dorigo, M. Zlochin, N. Meuleau, and M. Birattari. Updating ACO pheromones using Stochastic Gradient Ascent and Cross-Entropy methods. Technical Report TR/IRIDIA/2001-019, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2001.
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M. Zlochin, M. Birattari, N. Meuleau, and M. Dorigo. Model-based Search for Combinatorial Optimization. Technical Report TR/IRIDIA/2001-015, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2001.
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duch├óteau, and H. Bersini. Data-driven techniques for direct adaptive control: The lazy and the fuzzy approaches. Technical Report TR/IRIDIA/2001-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2001.
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M. Birattari, L. Paquete, T. St├╝tzle, and K. Varrentrapp. Classification of Metaheuristics and Design of Experiments for the Analysis of Components. Technical Report AIDA-01-05, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, Darmstadt, Germany, 2001.
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T. St├╝tzle, H. H. Hoos, and A. Roli. A Review of the Literature on Local Search Algorithms for MAX-SAT. Technical Report AIDA-01-02, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 2001.
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C. Piscopo, M. Birattari, and A. Saffiotti. Some philosophical issues about the treatment of uncertainty in artificial intelligence. Technical Report 3, Department of Technology, ├ľrebro University, ├ľrebro, Sweden, 2001.
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duch├óteau, and H. Bersini. Data-Driven Techniques for Divide-and-Conquer Adaptive Control. Technical Report TR/IRIDIA/2000-025, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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G. Bontempi, E. Bertolissi, and M. Birattari. Predicting stock markets in boundary conditions with local models. Technical Report TR/IRIDIA/2000-022, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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G. Bontempi, M. Birattari, and H. Bersini. A model selection approach for local learning. Technical Report TR/IRIDIA/2000-016, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duch├óteau, and H. Bersini. Multiple models for adaptive control: The lazy and the fuzzy Approach. Technical Report TR/IRIDIA/2000-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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E. Bertolissi, M. Birattari, G. Bontempi, A. Duch├óteau, and H. Bersini. Lazy learning vs.\ fuzzy systems: Two multiple-model approaches for adaptive control. Technical Report TR/IRIDIA/2000-003, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 2000.
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M. Birattari, G. Di Caro, and M. Dorigo. For a formal foundation of the Ant Programming approach to combinatorial optimization. Part 1: The problem, the representation, and the general solution strategy. Technical Report TR-H-301, ATR, Human Information Processing Research Laboratories, Kyoto, Japan, 2000.
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T. St├╝tzle and H. H. Hoos. Analyzing the Run-time Behaviour of Iterated Local Search for the TSP. Technical Report IRIDIA/2000-01, IRIDIA, Universit├ę Libre de Bruxelles, 2000.
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M. Birattari. First Project: IRIDIA and FaFer. Technical Report TR/IRIDIA/1999-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
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G. Bontempi and M. Birattari. A bound on the cross-validation estimate for algorithm assessment. Technical Report TR/IRIDIA/1999-010, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
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G. Bontempi and M. Birattari. Toolbox for Neuro-Fuzzy Identification and Data Analysis. For use with Matlab. Technical Report TR/IRIDIA/1999-009, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
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M. Birattari and G. Bontempi. The Lazy Learning Toolbox. For Use with Matlab. Technical Report TR/IRIDIA/1999-007, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
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M. Birattari and G. Bontempi. Lazy Learning Vs.\ Speedy Gonzales: A fast algorithm for recursive identification and recursive validation of local constant models. Technical Report TR/IRIDIA/1999-006, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
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G. Bontempi, M. Birattari, and H. Bersini. Local learning for iterated time series prediction. Technical Report TR/IRIDIA/1999-004, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1999.
BibTeX
T. St├╝tzle. Iterated Local Search for the Quadratic Assignment Problem. Technical Report AIDA-99-03, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, 1999.
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H. H. Hoos and T. St├╝tzle. Systematic versus Local Search. Technical Report 99-06, Computer Science Department, University of British Columbia, Vancouver, Canada, 1999.
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M. Birattari, G. Bontempi, and H. Bersini. Lazy learning meets the recursive least squares algorithm. Technical Report TR/IRIDIA/1998-002, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1998.
BibTeX
T. St├╝tzle. Applying Iterated Local Search to the Permutation Flow Shop Problem. Technical Report AIDA-98-04, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, August 1998.
BibTeX
H. H. Hoos and T. St├╝tzle. Characterizing the Run-time Behavior of Stochastic Local Search. Technical Report AIDA-98-01, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, January 1998.
BibTeX
G. Bontempi, M. Birattari, and H. Bersini. Lazy learning for modeling and control design. Technical Report TR/IRIDIA/1997-016, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1997.
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H. Bersini, G. Bontempi, and M. Birattari. Adaptive Memory-Based Regression Methods. Technical Report TR/IRIDIA/1997-013, IRIDIA, Universit├ę Libre de Bruxelles, Brussels, Belgium, 1997.
BibTeX
T. St├╝tzle. $\cal MAX$-$\cal MIN$ Ant System for the Quadratic Assignment Problem. Technical Report AIDA-97-4, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, July 1997.
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H. H. Hoos and T. St├╝tzle. A Characterization of GSAT's Performance on a Class of Hard Structured Problems. Technical Report AIDA-96-20, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, December 1996.
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T. St├╝tzle and H. H. Hoos. Improving the Ant-System: The $\cal MAX$-$\cal MIN$ Ant System. Technical Report AIDA-96-12, FG Intellektik, FB Informatik, Technische Universit├Ąt Darmstadt, August 1996.
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T. St├╝tzle. A Neural Network Approach to Quality Control Charts. Technical Report TR-7-95, Department of Statistics and Operations Research, Faculty of Mathematics, Universidad Complutense de Madrid, Madrid, Spain, April 1995.
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V. Maniezzo, A. Colorni, and M. Dorigo. The Ant System Applied to the Quadratic Assignment Problem. Technical Report TR/IRIDIA/94-28, IRIDIA, ├ëcole polytechnique de Bruxelles, Universit├ę Libre de Bruxelles, 1994.
BibTeX
M. Dorigo, V. Maniezzo, and A. Colorni. Positive Feedback as a Search Strategy. Technical Report 91-016, Dipartimento di Elettronica, Politecnico di Milano, Milan, Italy, 1991.

Unpublished articles

BibTeX
M. Manfrin, M. Birattari, C. Blum, M. Sampels, O. Rossi-Doria, M. Chiarandini, L. Paquete, T. Schiavinotto, L. Bianchi, and M. Mastrolilli. Report for Task 8: Final analysis. Internal document of the Metaheuristics Network, May 2004.
BibTeX
M. Manfrin, M. Birattari, C. Blum, M. Sampels, O. Rossi-Doria, M. Chiarandini, L. Paquete, T. Schiavinotto, L. Bianchi, and M. Mastrolilli. Report for Task 7: Experimental comparison. Internal document of the Metaheuristics Network, May 2004.
BibTeX
M. Dorigo. Parallel Ant System: An Experimental Study. Unpublished manuscript, 1993.


Updated: 2017-03-27