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Articles

G. Valentini, A. Antoun, M. Trabattoni, B. Wiandt, Y. Tamura, E. Hocquard, V. Trianni, and M. Dorigo. Kilogrid: A Novel Experimental Environment for the Kilobot Robot. Swarm Intelligence, 12(3):245-266, 2018.

D. Ipparthi, T. A. G. Hageman, N. Cambier, M. Sitti, M. Dorigo, L. Abelmann, and M. Mastrangeli. Kinetics of orbitally shaken particles constrained to two dimensions. Physical Review E, 98:042137, 2018.

https://dx.doi.org/10.1103/PhysRevE.98.042137

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.

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.

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.

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.

http://doi.org/10.7717/peerj-cs.82

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.

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.

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.

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.

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.

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.

M. Dorigo, M. Birattari, S. Garnier, H. Hamann, M. Montes de Oca, C. Solnon, and T. Stützle. ANTS 2014 special issue -- Editorial. Swarm Intelligence, 9(2-3):71-73, 2015.

P. Balaprakash, M. Birattari, T. Stützle, 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.

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.

T. Liao, K. Socha, M. Montes de Oca, T. Stützle, and M. Dorigo. Ant Colony Optimization for Mixed-Variable Optimization Problems. IEEE Transactions on Evolutionary Computation, 18(4):503-518, 2014.

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.

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.

T. Liao, T. Stützle, 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.

F. Ducatelle, G. Di Caro, A. Förster, M. Bonani, M. Dorigo, S. Magnenat, F. Mondada, R. O'Grady, C. Pinciroli, P. Rétornaz, V. Trianni, and L. M. Gambardella. Cooperative Navigation in Robotic Swarms. Swarm Intelligence, 8(1):1-33, 2014.

M. Dorigo, M. Birattari, and M. Brambilla. Swarm Robotics. Scholarpedia, 9(1):1463, 2014.

http://dx.doi.org/10.4249/scholarpedia.1463

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.

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.

M. Brambilla, E. Ferrante, A. Prina, M. Birattari, and M. Dorigo. Robotica di sciame: Una rassegna bibliografica. Sistemi Intelligenti, XXVI(3):465-494, 2014.

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.

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.

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.

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.

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.

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.

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. Decugnière, G. Di Caro, F. Ducatelle, E. Ferrante, A. Förster, J. Guzzi, V. Longchamp, S. Magnenat, J. Martinez Gonzales, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. Rétornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, 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.

M. Dorigo, M. Birattari, C. Blum, A. Christensen, A. P. Engelbrecht, R. Groß, and T. Stützle. ANTS 2012 special issue -- Editorial. Swarm Intelligence, 7(2-3):79-81, 2013.

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.

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.

http://dx.doi.org/10.1088/1367-2630/15/9/095011

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.

http://dx.doi.org/10.1103/PhysRevLett.111.268302

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.

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.

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.

M. Dorigo. Swarm Intelligence research at IRIDIA, Université Libre de Bruxelles. Mathware & Soft Computing, 19(2):19-22, 2012.

M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, L. M. Gambardella, R. Groß, E. Sahin, and T. Stützle. ANTS 2010 Special Issue -- Editorial. Swarm Intelligence, 5(3-4):143-147, 2011.

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.

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.

C. Teixeira, J. Covas, T. Stützle, 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.

O. Korb, T. Stützle, and T. E. Exner. Accelerating Molecular Docking Calculations Using Graphics Processing Units. Journal of Chemical Information and Modeling, 2011.

http://dx.doi.org/10.1021/ci100459b

A. Roli, S. Benedettini, T. Stützle, and C. Blum. Large Neighbourhood Search for the Founder Sequence Reconstruction Problem. Computers & Operations Research, 2011. Accepted for publication.

M. Montes de Oca, D. Aydin, and T. Stützle. 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.

M. Montes de Oca, T. Stützle, 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.

A. Campo, S. Garnier, O. Dédriche, M. Zekkri, and M. Dorigo. Self-Organized Discrimination of Resources. PLoS ONE, 6(5):e19888, 2011.

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.

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.

P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Computers & Operations Research, 37(11):1939-1951, 2010.

R. O'Grady, R. Groß, A. Christensen, and M. Dorigo. Self-assembly Strategies in a Group of Autonomous Mobile Robots. Autonomous Robots, 28(4):439-455, 2010.

C. Twomey, T. Stützle, M. Dorigo, M. Manfrin, and M. Birattari. An Analysis of Communication Policies for Homogeneous Multi-colony ACO Algorithms. Information Sciences, 180:2390-2404, 2010.

?. Gutiérrez, 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.

A. Campo, ?. Gutiérrez, 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.

J. Sabino, J. E. Leal, T. Stützle, 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.

C. Piscopo and M. Birattari. A critique of the constitutive role of truthlikeness in the similarity approach. Erkenntnis, 72(3):379-386, 2010.

E. Hart, H. Bersini, and F. C. Santos. Structure versus function: a topological perspective on immune networks. Natural Computing, 9(3):603-624, 2010.

H. Bersini. Software Replica of Minimal Living Processes. Origins of Life and Evolution of Biospheres, 40(2):121-130, January 2010.

H. Bersini. Emergence phenomena only belong to Biology. Synthese, (3), 2010.

A. Coletta, J. W. Pinney, D. Weiss Solís, 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.

10.1186/1752-0509-4-43

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.

O. Korb, T. Stützle, 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.

T. Urlings, R. Ruiz, and T. Stützle. Shifting Representation Search for Hybrid Flexible Flowline Problems. European Journal of Operational Research, 207(2):1086-1095, 2010.

?. Gutiérrez, 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.

S. Nouyan, R. Groß, M. Bonani, F. Mondada, and M. Dorigo. Teamwork in Self-Organized Robot Colonies. IEEE Transactions on Evolutionary Computation, 13(4):695-711, 2009.

R. Groß and M. Dorigo. Towards Group Transport by Swarms of Robots. International Journal of Bio-Inspired Computation, 1(1-2):1-13, 2009.

P. Balaprakash, M. Birattari, T. Stützle, 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.

R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Multirobot Morphogenesis using Directional Self-Assembly. IEEE Transactions on Robotics, 25(3):738-743, 2009.

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.

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.

M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo. Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. IEEE Transactions on Evolutionary Computation, 13(5):1120-1132, 2009.

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.

P. Balaprakash, M. Birattari, T. Stützle, 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.

K. F. Doerner, D. Merkle, and T. Stützle. Special issue on Ant Colony Optimization. Swarm Intelligence, 3(1):1-2, 2009.

L. Paquete and T. Stützle. 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.

O. Korb, T. Stützle, 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.

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.

T. Lenaerts and H. Bersini. A Synthon Approach to Artificial Chemistry. Artificial Life, 15(1):89-103, December 2009.

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.

0.1016/j.neunet.2009.06.025

W. C. G. van Staveren, D. Weiss Solís, A. Hébrant, 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.

F. Hutter, H. H. Hoos, K. Leyton-Brown, and T. Stützle. ParamILS: An Automatic Algorithm Configuration Framework. Journal of Artificial Intelligence Research, 36:267-306, 2009.

R. Ruiz and T. Stützle. 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.

P. M. Hahn, B.-J. Kim, W. L. Hightower, T. Stützle, 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.

K. Socha and M. Dorigo. Ant Colony Optimization for Continuous Domains. European Journal of Operational Research, 185(3):1155-1173, 2008.

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.

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.

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.

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.

R. Groß and M. Dorigo. Self-Assembly at the Macroscopic Scale. Proceedings of the IEEE, 96(9):1490-1508, 2008.

R. Groß and M. Dorigo. Evolution of Solitary and Group Transport Behaviors for Autonomous Robots Capable of Self-Assembling. Adaptive Behavior, 16(5):285-305, 2008.

M. Birattari, P. Balaprakash, T. Stützle, 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.

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.

M. Dorigo, M. Montes de Oca, and A. P. Engelbrecht. Particle Swarm Optimization. Scholarpedia, 3(11):1486, 2008.

http://www.scholarpedia.org/article/Particle_swarm_optimization

?. Gutiérrez, 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.

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.

R. Ruiz and T. Stützle. A Simple and Effective Iterated Greedy Algorithm for the Permutation Flowshop Scheduling Problem. European Journal of Operational Research, 177(3):2033-2049, 2007.

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.

M. Dorigo. Ant Colony Optimization. Scholarpedia, 2(3):1461, 2007.

http://www.scholarpedia.org/article/Ant_Colony_Optimization

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.

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.

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.

http://dx.doi.org/10.1016/j.inffus.2005.06.004

M. Dorigo and M. Birattari. Swarm Intelligence. Scholarpedia, 2(9):1462, 2007.

http://www.scholarpedia.org/article/Swarm_intelligence

M. Dorigo. Editorial. Swarm Intelligence, 1(1):1-2, 2007.

M. Birattari, P. Pellegrini, and M. Dorigo. On the Invariance of Ant Colony Optimization. IEEE Transactions on Evolutionary Computation, 11(6):732-742, 2007.

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.

H. H. Hoos and T. Stützle. Special issue on “Stochastic Search Algorithms”. Annals of Operations Research, 156:1-173, 2007.

L. Paquete, T. Schiavinotto, and T. Stützle. On Local Optima in Multiobjective Combinatorial Optimization Problems. Annals of Operations Research, 156:83-98, 2007.

T. Schiavinotto and T. Stützle. A Review of Metrics on Permutations for Search Space Analysis. Computers & Operations Research, 34(10):3143-3153, 2007.

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.

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.

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.

W. C. G. van Staveren, D. Weiss Solís, 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.

10.1158/0008-5472.CAN-06-4026

V. Detours, L. Delys, F. Libert, D. Weiss Solís, 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.

10.1038/sj.bjc.6603938

O. Korb, T. Stützle, and T. E. Exner. An Ant Colony Optimization Approach to Flexible Protein-Ligand Docking. Swarm Intelligence, 1(2):115-134, 2007.

M. Chiarandini and T. Stützle. Stochastic Local Search Algorithms for Graph Set $T$-Colouring and Frequency Assignment. Constraints, 12(3):371-403, 2007.

L. Paquete and T. Stützle. 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.

T. Stützle. Iterated Local Search for the Quadratic Assignment Problem. European Journal of Operational Research, 174(3):1519-1539, 2006.

R. Groß, M. Bonani, F. Mondada, and M. Dorigo. Autonomous Self-Assembly in Swarm-Bots. IEEE Transactions on Robotics, 22(6):1115-1130, 2006.

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.

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.

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.

V. Trianni and M. Dorigo. Self-Organisation and Communication in Groups of Simulated and Physical Robots. Biological Cybernetics, 95:213-231, 2006.

E. Tuci, R. Groß, 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.

V. Trianni, S. Nolfi, and M. Dorigo. Cooperative Hole Avoidance in a Swarm-Bot. Robotics and Autonomous Systems, 54(2):97-103, 2006.

J. Handl, J. Knowles, and M. Dorigo. Ant-Based Clustering and Topographic Mapping. Artificial Life, 12(1):35-61, 2006.

M. Dorigo, M. Birattari, and T. Stützle. Ant Colony Optimization: Artificial Ants as a Computational Intelligence Technique. IEEE Computational Intelligence Magazine, 1(4):28-39, 2006.

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.

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.

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.

http://dx.doi.org/10.1016/j.inffus.2005.04.004

M. Dorigo, M. Birattari, and T. Stützle. Ant Colony Optimization: Artificial ants as a computational intelligence technique. IEEE Computational Intelligence Magazine, 1(4):28-39, 2006.

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.

W. C. G. van Staveren, D. Weiss Solís, 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.

10.1073/pnas.0507354102

H. H. Hoos and T. Stützle. Schlagwort: Stochastische lokale Suche. Künstliche Intelligenz, 1/05, 2005.

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.

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).

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.

M. Dorigo and C. Blum. Ant Colony Optimization Theory: A Survey. Theoretical Computer Science, 344(2-3):243-278, 2005.

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.

M. Dorigo, E. Tuci, F. Mondada, S. Nolfi, J.-L. Deneubourg, D. Floreano, and L. M. Gambardella. The SWARM-BOTS Project. Künstliche Intelligenz, 4/05:32-35, 2005.

S. Nouyan, R. Ghizzioli, M. Birattari, and M. Dorigo. An Insect-Based Algorithm for the Dynamic Task Allocation Problem. Künstliche Intelligenz, 4/05:25-31, 2005.

P. Smets. Belief functions on real numbers. International Journal of Approximate Reasoning, 40(3):181-223, 2005.

http://dx.doi.org/10.1016/j.ijar.2005.04.001

T. Schiavinotto and T. Stützle. The Linear Ordering Problem: Instances, Search Space Analysis and Algorithms. Journal of Mathematical Modelling and Algorithms, 3(4):367-402, 2004.

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.

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.

M. Dorigo, V. Trianni, E. Sahin, R. Groß, 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.

M. Dorigo and E. Sahin. Guest Editorial. Special Issue: Swarm Robotics. Autonomous Robots, 17(2-3):111-113, 2004.

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.

E. Tuci, V. Trianni, and M. Dorigo. ‘Feeling' the Flow of Time through Sensorymotor Co-ordination. Connection Science, 16(4):301-324, 2004.

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.

H. R. Lourenço, O. Martin, and T. Stützle. A Concise Introduction to Iterated Local Search. AIROnews, 8(3):11-14, 2003.

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.

O. Cordón, F. Herrera, and T. Stützle. Special issue on “Ant Colony Optimization”. 9(2-3):137-268, 2002.

T. Stützle and M. Dorigo. A Short Convergence Proof for a Class of ACO Algorithms. IEEE Transactions on Evolutionary Computation, 6(4):358-365, 2002.

T. Stützle and S. Linke. Experiments with Variants of Ant Algorithms. 9(2-3):193-207, 2002.

O. Cordón, F. Herrera, and T. Stützle. Guest Editorial -- Ant Colony Optimization: Models and Applications. 9(2-3):137-139, 2002.

O. Cordón, F. Herrera, and T. Stützle. A Review on the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. 9(2-3):141-175, 2002.

M. Dorigo, L. M. Gambardella, M. Middendorf, and T. Stützle. Guest Editorial: Special Section on Ant Colony Optimization. IEEE Transactions on Evolutionary Computation, 6(4):317-320, 2002.

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.

N. Meuleau and M. Dorigo. Ant Colony Optimization and Stochastic Gradient Descent. Artificial Life, 8(2):103-121, 2002.

P. Smets. The application of the matrix calculus to belief functions. International Journal of Approximate Reasoning, 31(1-2):1-30, 2002.

http://dx.doi.org/10.1016/S0888-613X(02)00066-X

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.

ttp://dx.doi.org/10.1016/S0893-6080(02)00096-5

H. Bersini. The immune and the chemical crossover. IEEE Transactions on Evolutionary Computation, 6(3):306-313, 2002.

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.

http://dx.doi.org/10.1016/S0888-613X(02)00072-5

T. Stützle and H. H. Hoos. Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. Künstliche Intelligenz, (1/01):45-51, 2001.

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.

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.

Z. Elouedi, K. Mellouli, and P. Smets. Belief decision trees: theoretical foundations. International Journal of Approximate Reasoning, 28(2-3):91-124, 2001.

http://dx.doi.org/10.1016/S0888-613X(01)00045-7

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.

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.

H. H. Hoos and T. Stützle. Local Search Algorithms for SAT: An Empirical Evaluation. Journal of Automated Reasoning, 24(4):421-481, 2000.

G. Bontempi, M. Birattari, and H. Bersini. A model selection approach for local learning. AI Communications, 13(1):41-47, 2000.

E. Bonabeau, M. Dorigo, and G. Theraulaz. Inspiration for Optimization from Social Insect Behavior. Nature, 406:39-42, 2000.

M. Dorigo, E. Bonabeau, and G. Theraulaz. Ant Algorithms and Stigmergy. Future Generation Computer Systems, 16(8):851-871, 2000.

M. Dorigo, G. Di Caro, and T. Stützle. Guest Editorial: Ant Algorithms. Future Generation Computer Systems, 16(8):v-vii, 2000.

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.

T. Stützle and H. H. Hoos. $\cal MAX$-$\cal MIN$ Ant System. Future Generation Computer Systems, 16(8):889-914, 2000.

S. Benferhat, A. Saffiotti, and P. Smets. Belief functions and default reasoning. Artificial Intelligence, 122(1-2):1-69, 2000.

H. H. Hoos and T. Stützle. Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artificial Intelligence, 112(1-2):213-232, 1999.

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.

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.

M. Dorigo, G. Di Caro, and L. M. Gambardella. Ant Algorithms for Discrete Optimization. Artificial Life, 5(2):137-172, 1999.

A. Colorni, M. Dorigo, and V. Maniezzo. Metaheuristics for High School Timetabling. Computational Optimization and Applications, 9(3):275-298, 1998.

G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research, 9:317-365, 1998.

J. Urzelai, D. Floreano, M. Dorigo, and M. Colombetti. Incremental Robot Shaping. Connection Science, 10(3-4):341-360, 1998.

H. Bersini. The frustrated and compositional nature of chaos in small Hopfield networks. Neural Networks, 11(6):1017-1025, 1998.

http://dx.doi.org/10.1016/S0893-6080(98)00056-2

T. Stützle. Lokale Suchverfahren für Constraint Satisfaction Probleme: Die it min-conflicts Heuristik und Tabu Search. Künstliche Intelligenz, 1/97:8-14, 1997.

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.

M. Dorigo and L. M. Gambardella. Ant Colonies for the Traveling Salesman Problem. BioSystems, 43:73-81, 1997.

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.

M. Dorigo and M. Colombetti. Reply to Dario Floreano's “Engineering Adaptive Behavior”. Adaptive Behavior, 5(3-4):417-420, 1997.

P. Smets. The Normative Representation of Quantified Beliefs by Belief Functions. Artificial Intelligence, 92(1-2):229-242, 1997.

M. Dorigo and M. Colombetti. Précis of Robot Shaping: An Experiment in Behavior Engineering. Adaptive Behavior, 5(3-4):391-405, 1997.

M. Colombetti and M. Dorigo. Verso un'Ingegneria del Comportamento. Automazione Energia Informazione, 83(10):70-78, 1996.

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.

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.

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.

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.

H. Xu and P. Smets. Reasoning in evidential networks with conditional belief functions. International Journal of Approximate Reasoning, 14(2-3):155-185, 1996.

http://dx.doi.org/10.1016/0888-613X(96)00113-2

P. Smets and R. Kruse. The Transferable Belief Model for Belief Representation. Uncertainty Management in Information Systems, pages 343-368, 1996.

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.

M. Dorigo. ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems. Machine Learning, 19(3):209-240, 1995.

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.

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.

M. Dorigo, V. Maniezzo, and A. Colorni. Introduzione agli Algoritmi Naturali. Rivista di Informatica, 24(3):179-197, 1994.

M. Dorigo and M. Colombetti. Robot Shaping: Developing Autonomous Agents Through Learning. Artificial Intelligence, 71(2):321-370, 1994.

M. Colombetti and M. Dorigo. Training Agents to Perform Sequential Behavior. Adaptive Behavior, 2(3):247-275, 1994.

P. Smets and R. Kennes. The Transferable Belief Model. Artificial Intelligence, 66(2):191-234, 1994.

P. Smets. Believing on the Basis of the Evidence: Answer to Kyburg's Paper. Computational Intelligence, 10:94-98, 1994.

L. G. Sotelino, M. Saerens, and H. Bersini. Classification of temporal trajectories by continuous-time recurrent nets. Neural Networks, 7(5):767-776, 1994.

M. Dorigo. Gli Algoritmi Genetici, i Sistemi a Classificatori e il Problema dell'Animat. Sistemi Intelligenti, 3(93):401-434, 1993.

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.

A. Bertoni and M. Dorigo. Implicit Parallelism in Genetic Algorithms. Artificial Intelligence, 61(2):307-314, 1993.

M. Dorigo. Genetic and Non-Genetic Operators in ALECSYS. Evolutionary Computation, 1(2):151-164, 1993.

P. Smets. Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem. International Journal of Approximate Reasoning, 9(1):1-35, 1993.

http://dx.doi.org/10.1016/0888-613X(93)90005-X

H. T. Nguyen and P. Smets. On dynamics of cautious belief and conditional objects. International Journal of Approximate Reasoning, 8(2):89-104, 1993.

http://dx.doi.org/10.1016/0888-613X(93)90022-6

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.

P. Smets. Resolving misunderstandings about belief functions. International Journal of Approximate Reasoning, 6(3):321-344, 1992.

http://dx.doi.org/10.1016/0888-613X(92)90028-X

A. Colorni, M. Dorigo, and V. Maniezzo. Gli algoritmi Genetici e il Problema dell'Orario. Ricerca Operativa, 60:5-31, 1991.

P. Smets. Varieties of ignorance and the need for well-founded theories. Information Sciences, 57-58:135-144, 1991.

P. Smets. The Combination of Evidence in the Transferable Belief Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(5):447-458, 1990.

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.

http://dx.doi.org/10.1016/0888-613X(89)90013-3

P. Smets and P. Magrez. Implication in Fuzzy Logic. International Journal of Approximate Reasoning, 1(4):327-347, 1987.

http://dx.doi.org/10.1016/0888-613X(87)90023-5

P. Smets. Information Content of an Evidence. International Journal of Man-Machine Studies, 19(1):33-43, 1983.

P. Smets. The degree of belief in a fuzzy event. Information Sciences, 25(1):1-19, 1981.

Books

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.

M. Dorigo, M. Birattari, C. Blum, A. Christensen, A. P. Engelbrecht, R. Groß, and T. Stützle, editors. Swarm Intelligence - Proceedings of ANTS 2012 - Eighth International Conference, volume 7641 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2012.

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.

M. Dorigo, M. Birattari, G. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle, editors. Swarm Intelligence - Proceedings of ANTS 2010 - Seventh International Conference, volume 6234 of Lecture Notes in Computer Science. Springer, Berlin, Germany, 2010.

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. Stützle, and J. van Hemert, editors. GECCO 2009: Genetic and Evolutionary Computation Conference. ACM Press, New York, NY, 2009.

M. Birattari. Tuning Metaheuristics: A Machine Learning Perspective. Springer-Verlag, Berlin, Germany, 2009.

T. Stützle, 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.

K. F. Doerner, D. Merkle, and T. Stützle, editors. Special issue on “Ant Colony Optimization”. Swarm Intelligence, 3(1):1-85. Springer, 2009.

V. Maniezzo, T. Stützle, and S. Voß, editors. Matheuristics--Hybridizing Metaheuristics and Mathematical Programming, volume 10 of Annals of Information Systems. Springer, New York, NY, 2009.

T. Stützle, editor. Learning and Intelligent Optimization, Third International Conference, LION 3, volume 5851 of Lecture Notes in Computer Science. Springer, Heidelberg, Germany, 2009.

M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, 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.

M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, 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.

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. Stützle, R. Watson, and I. Wegener, editors. GECCO 2007: Genetic and Evolutionary Computation Conference. ACM Press, New York, NY, 2007.

E. Ridge, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, 2007.

T. Stützle, 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.

M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle, 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.

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.

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.

H. H. Hoos and T. Stützle. Stochastic Local Search--Foundations and Applications. Morgan Kaufmann Publishers, San Francisco, CA, 2004.

M. Dorigo and E. Sahin, editors. Special Issue on “Swarm Robotics”. Autonomous Robots, 17:111-246. Springer, 2004.

M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. Stützle, 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.

M. Dorigo and T. Stützle. Ant Colony Optimization. MIT Press, Cambridge, MA, 2004.

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.

M. Dorigo, L. M. Gambardella, M. Middendorf, and T. Stützle, editors. Special Section on “Ant Colony Optimization”. IEEE Transactions on Evolutionary Computation, 6(4):317-365. IEEE Press, 2002.

M. Dorigo, T. Stützle, and G. Di Caro, editors. Special Issue: “Ant Algorithms”. Future Generation Computer Systems, 16:851-956. Elsevier, 2000.

T. Stützle. Local Search Algorithms for Combinatorial Problems: Analysis, Improvements, and New Applications, volume 220 of DISKI. Infix Publishers, Sankt Augustin, Germany, 1999.

D. Corne, M. Dorigo, and F. Glover, editors. New Ideas in Optimization. McGraw-Hill, London, UK, 1999.

E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York, 1999.

M. Dorigo and M. Colombetti. Robot Shaping: An Experiment in Behavior Engineering. MIT Press, Cambridge, MA, 1998.

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.

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.

M. Dorigo, editor. Special Issue on Learning Autonomous Robots. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 26:361-506. IEEE Press, 1996.

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.

Book chapters

M. Dorigo and T. Stützle. Ant Colony Optimization: Overview and Recent Advances. In M. Gendreau and J.-Y. Potvin, editors, Handbook of Metaheuristics, 3rd Edition, volume 272 of International Series in Operations Research & Management Science, chapter 10, pages 311-351. Springer, New York, 2018.

M. López-Ibáñez, T. Stützle, and M. Dorigo. Ant Colony Optimization: A Component-Wise Overview. In R. Martì, P. Panos, and M. G. C. Resende, editors, Handbook of Heuristics, pages 371-407. Springer, 2018.

M. Dorigo and K. Socha. Ant Colony Optimization. In T. F. Gonzalez, editor, Handbook of Approximation Algorithms and Metaheuristics, 2nd Edition. Chapman & Hall/CRC, Boca Raton, FL, 2018.

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.

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 193-204. Springer, Berlin, Germany, 2014.

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.

R. Groß, 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.

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.

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.

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.

M. Dorigo, M. Montes de Oca, S. Oliveira, and T. Stützle. Ant Colony Optimization. In J. J. Cochran, editor, Wiley Encyclopedia of Operations Research and Management Science, pages 114-125. John Wiley & Sons, 2011.

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.

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.

Z. Yuan, M. Montes de Oca, M. Birattari, and T. Stützle. 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. Groß, E. Sahin, H. Sayama, and T. Stützle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of LNCS, pages 203-214. Springer-Verlag, Berlin, Germany, 2010.

P. Pellegrini, T. Stützle, 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. Groß, E. Sahin, H. Sayama, and T. Stützle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of LNCS, pages 239-250. Springer-Verlag, Berlin, Germany, 2010.

Z. Yuan, T. Stützle, and M. Birattari. MADS/F-Race: Mesh adaptive direct search meets F-Race. In N. García-Pedrajas, H. Francisco, C. Fyfe, J. M. Benítez, 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.

M. Dorigo and T. Stützle. Ant Colony Optimization: Overview and Recent Advances. In M. Gendreau and J.-Y. Potvin, editors, Handbook of Metaheuristics, 2nd Edition, volume 146 of International Series in Operations Research & Management Science, chapter 8, pages 227-263. Springer, New York, 2010.

M. López-Ibáñez and T. Stützle. 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. Groß, E. Sahin, H. Sayama, and T. Stützle, editors, Swarm Intelligence, 7th International Conference, ANTS 2010, volume 6234 of Lecture Notes in Computer Science, pages 94-105. Springer, Heidelberg, Germany, 2010.

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.

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.

M. Chiarandini and T. Stützle. 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.

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.

L. Paquete and T. Stützle. 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.

H. R. Lourenço, O. Martin, and T. Stützle. 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.

J. Dubois-Lacoste, M. López-Ibáñez, and T. Stützle. 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 52Ã¢â?¬â??-67. Springer, Heidelberg, Germany, 2010.

M. Birattari, Z. Yuan, P. Balaprakash, and T. Stützle. 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.

M. Gagliolo, C. Legrand, and M. Birattari. Mixed-effects modeling of optimisation algorithm performance. In T. Stützle, 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.

M. Birattari, Z. Yuan, P. Balaprakash, and T. Stützle. Automated Algorithm Tuning using F-races: Recent Developments. In M. Caserta and S. Voß, editors, Proceedings of MIC 2009, the 8th Metaheuristics International Conference, pages Proceedings on CD-ROM, 10 pages. University of Hamburg, Hamburg, Germany, 2009.

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.

M. S. bin Hussin and T. Stützle. 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.

T. Stützle. 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.

L. Paquete and T. Stützle. 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.

F. Sambo, M. Montes de Oca, B. Di Camillo, and T. Stützle. 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.

I. Dumitrescu and T. Stützle. Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms. In V. Maniezzo, T. Stützle, and S. Voß, editors, Matheuristics--Hybridizing Metaheuristics and Mathematical Programming, volume 10 of Annals of Information Systems, pages 103-134. Springer, New York, NY, 2009.

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.

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.

M. Montes de Oca and T. Stützle. 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.

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.

M. Montes de Oca, K. Van den Enden, and T. Stützle. 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.

P. Balaprakash, M. Birattari, and T. Stützle. 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.

R. Lenne, C. Solnon, T. Stützle, 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.

M. Montes de Oca and T. Stützle. 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.

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.

M. Chiarandini, I. Dumitrescu, and T. Stützle. 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.

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.

P. Balaprakash, M. Birattari, and T. Stützle. 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.

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. Stützle, 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.

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.

F. Hutter, H. H. Hoos, and T. Stützle. 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.

M. Chiarandini, I. Dumitrescu, and T. Stützle. 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.

L. Paquete and T. Stützle. 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.

H. H. Hoos and T. Stützle. 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.

H. H. Hoos and T. Stützle. 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.

M. Dorigo, E. Tuci, V. Trianni, R. Groß, 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.

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.

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.

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.

J. Sabino, T. Stützle, 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. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, volume 4150 of LNCS, pages 502-503. Springer-Verlag, Berlin, Germany, 2006.

W. Wiesemann and T. Stützle. Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle, 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.

M. Chiarandini, T. Stützle, 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.

O. Korb, T. Stützle, 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. Stützle, 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.

J. Gimmler, T. Stützle, 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. Stützle, 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.

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.

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.

H. Bersini. Why the First Glass of Wine Is Better Than the Seventh. In ICARIS, pages 100-111. IEEE Computer Society Press, 2005.

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.

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.

S. Becker, J. Gottlieb, and T. Stützle. 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.

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.

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.

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.

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.

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.

H. R. Lourenço, O. Martin, and T. Stützle. 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.

M. Dorigo and T. Stützle. 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.

M. Birattari, T. Stützle, L. Paquete, and K. Varrentrapp. A Racing Algorithm for Configuring Metaheuristics. In W. B. Langdon, E. Cantú-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.

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.

T. Stützle 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.

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.

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.

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.

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.

H. H. Hoos and T. Stützle. 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.

H. H. Hoos and T. Stützle. 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.

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.

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.

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.

H. Bersini. Chemical Crossover. In L. D. Whitley, D. E. Goldberg, E. Cantú-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.

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. Cantú-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.

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.

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.

T. Stützle 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.

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.

T. Stützle 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.

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.

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.

T. Stützle and M. Dorigo. ACO Algorithms for the Traveling Salesman Problem. In K. Miettinen, P. Neittaanmäki, M. M. Mäkelä, and J. Périaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 9, pages 163-183. John Wiley & Sons, Chichester, UK, 1999.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

G. Bontempi, M. Birattari, and H. Bersini. Recursive lazy learning for modeling and control. In C. Nédellec 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

H. Bersini and G. Seront. In Search of a Good Evolution-Optimization Crossover. In R. Männer and B. Manderick, editors, Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992, pages 485-494. Elsevier, 1992.

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.

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.

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.

H. Bersini and F. J. Varela. Hints for Adaptive Problem Solving Gleaned from Immune Networks. In H.-P. Schwefel and R. Männer, 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.

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.

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.

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.

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.

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.

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.

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.

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.

Articles in proceedings

V. Strobel and M. Dorigo. Blockchain Technology for Robot Swarms: A Shared Knowledge and Reputation Management System for Collective Estimation. In Swarm Intelligence - Proceedings of ANTS 2018 - Eleventh International Conference, volume 11172 of Lecture Notes in Computer Science, pages 425-426, Berlin, Germany, 2018. Springer.

M. Allwright, N. Bhalla, C. Pinciroli, and M. Dorigo. Simulating Multi-robot Construction in ARGoS. In Swarm Intelligence - Proceedings of ANTS 2018 - Eleventh International Conference, volume 11172 of Lecture Notes in Computer Science, pages 188-200, Berlin, Germany, 2018. Springer.

M. Trabattoni, G. Valentini, and M. Dorigo. Hybrid Control of Swarms for Resource Selection. In Swarm Intelligence - Proceedings of ANTS 2018 - Eleventh International Conference, volume 11172 of Lecture Notes in Computer Science, pages 57-70, Berlin, Germany, 2018. Springer.

G. Podevijn, R. O'Grady, C. Fantini-Hauwel, and M. Dorigo. Human Responses to Stimuli Produced by Robot Swarms - the Effect of the Reality-Gap on Psychological State. In R. Groß, A. Kolling, S. Berman, E. Frazzoli, A. Martinoli, F. Matsuno, and M. Gauci, editors, Proceedings of the 13th International Symposium on Distributed Autonomous Robotic Systems, volume 6 of Springer Proceedings in Advanced Robotics, pages 531-543. Springer, 2018.

C. L. Camacho-Villalón, M. Dorigo, and T. Stützle. Why the Intelligent Water Drops Cannot Be Considered As a Novel Algorithm. In Swarm Intelligence - Proceedings of ANTS 2018 - Eleventh International Conference, volume 11172 of Lecture Notes in Computer Science, pages 302-314, Berlin, Germany, 2018. Springer.

V. Strobel, E. Castelló Ferrer, and M. Dorigo. Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario. In M. Dastani, G. Sukthankar, E. André, and S. Koenig, editors, Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '18, pages 541-549, Richland, SC, 2018. International Foundation for Autonomous Agents and Multiagent Systems.

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.

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.

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.

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.

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.

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.

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.

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.

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”.

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.

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.

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.

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.

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.

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.

D. Ipparthi, M. Mastrangeli, N. Bhalla, and M. Dorigo. Effects of Packing and Dynamics in a Self-Assembling System. In PPSN Workshop on Natured-Inspired Techniques for Robotics, 2014.

http://ppsn2014.ijs.si/files/PPSN_Program.pdf

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.

10.1007/978-3-662-43645-5_41

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.

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.

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.

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.

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.

R. O'Grady, A. Christensen, R. Groß, 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.

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.

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.

T. Liao, M. Molina, T. Stützle, 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.

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.

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.

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.

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.

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.

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.

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.

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.

R. O'Grady, C. Pinciroli, R. Groß, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Swarm-bots to the Rescue. In G. Kampis, I. Karsai, and E. Szathmáry, 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.

T. Liao, M. Montes de Oca, D. Aydin, T. Stützle, 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.

N. Mathews, A. Christensen, R. O'Grady, P. Rétornaz, 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.

C. Pinciroli, V. Trianni, R. O'Grady, G. Pini, A. Brutschy, M. Brambilla, N. Mathews, E. Ferrante, G. Di Caro, F. Ducatelle, T. Stirling, ?. Gutiérrez, 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.

S. Oliveira, M. S. Hussin, T. Stützle, 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.

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”.

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. Groß, 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.

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.

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.

M. Montes de Oca, T. Stützle, 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.

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.

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.

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.

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.

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.

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.

W. Schäfer, M. Birattari, J. Blömer, M. Dorigo, G. Engels, R. O'Grady, M. Platzner, F. Rammig, W. Reif, and A. Trächtler. 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.

C. Teixeira, J. Covas, T. Stützle, 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.

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.

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.

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.

H. Bersini. Object-Oriented Refactoring of Existing Immune Models. In ICARIS, pages 27-40, 2009.

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Z. Yuan, T. Stützle, 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.

C. Teixeira, J. Covas, T. Stützle, 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.

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, Setúbal, Portugal, 2009. INSTICC Press.

M. Montes de Oca, J. Peña, T. Stützle, 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.

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, Robótica 2009, pages 127-133, Castelo Branco, Portugal, 2009. IPCB-Instituto Politécnico de Castelo Branco.

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, Robótica 2009, pages 113-119, Castelo Branco, Portugal, 2009. IPCB-Instituto Politécnico de Castelo Branco.

?. Gutiérrez, 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.

T. Urlings, T. Stützle, 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.

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.

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. Stützle, 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.

?. Gutiérrez, 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. Stützle, 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.

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.

A. Decugnière, B. Poulain, A. Campo, C. Pinciroli, B. Tartini, M. Osée, M. Birattari, and M. Dorigo. Enhancing the Cooperative Transport of Multiple Objects. In M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, 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.

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. Stützle, 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.

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.

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.

R. Groß, 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.

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.

M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo. Composing particle swarm optimization algorithms. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 6-10, Brussels, Belgium, 2007.

P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Sampling strategies and local search for stochastic combinatorial optimization. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 16-20, Brussels, Belgium, 2007.

M. Manfrin, M. Birattari, T. Stützle, and M. Dorigo. Communication policies for a parallel multi-colony ACO algorithm with identical colonies. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 31-35, Brussels, Belgium, 2007.

M. Birattari, P. Balaprakash, T. Stützle, 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.

T. Huynh-Trung, T. Stützle, M. Birattari, and Y. De Smet. A study of ant colony optimization algorithms for a biobjective permutation flowshop problem. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 58-62, Brussels, Belgium, 2007.

R. Lenne, C. Solnon, T. Stützle, E. Tannier, and M. Birattari. Effective stochastic local search algorithms for the genomic median problem. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 1-5, Brussels, Belgium, 2007.

M. S. bin Hussin, T. Stützle, and M. Birattari. A study of stochastic local search algorithms for the quadratic assignment problem. In E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos, editors, SLS-DS 2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms, pages 11-15, Brussels, Belgium, 2007.

R. Groß 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.

R. O'Grady, R. Groß, 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.

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”.

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.

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.

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.

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.

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.

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.

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.

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.

H. Bersini. Immune System Modeling: The OO Way. In ICARIS, pages 150-163, 2006.

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M. Manfrin, M. Birattari, T. Stützle, 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.

M. Birattari and T. Stützle. F-races: A tool for the automatic configuration of stochastic local search algorithms. In ECCO XIX - CO2006 Joint Meeting, Porto, Portugal, 2006.

A. Campo, S. Nouyan, M. Birattari, R. Groß, 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.

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.

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.

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.

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.

A. Campo, S. Nouyan, M. Birattari, R. Groß, and M. Dorigo. Negotiation of Goal Direction for Cooperative Transport. In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli, and T. Stützle, 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.

P. Balaprakash, M. Birattari, T. Stützle, 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. Stützle, 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.

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. Stützle, 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.

M. Montes de Oca, T. Stützle, 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. Stützle, 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.

M. Manfrin, M. Birattari, T. Stützle, 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. Stützle, 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.

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. Stützle, 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.

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.

R. Groß, 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.

R. Groß, 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.

R. Groß, 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.

S. Nouyan, R. Groß, 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.

R. Ruiz and T. Stützle. 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.

T. Fischer, T. Stützle, 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.

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.

M. Chiarandini, D. Basso, and T. Stützle. Statistical Methods for the Comparison of Stochastic Optimizers. In Proceedings of the 6th Metaheuristics International Conference, pages 189-196, Vienna, Austria, 2005.

M. Guignard, P. M. Hahn, Z. Ding, B.-J. Kim, H. Samra, T. Stützle, 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/.

F. Hutter, H. H. Hoos, and T. Stützle. Efficient Stochastic Local Search for MPE Solving. In Proceedings of IJCAI-05, pages 169-174, 2005.

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.

M. Chiarandini, T. Stützle, 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.

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.

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.

R. Groß, 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.

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.

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.

R. O'Grady, R. Groß, 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.

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.

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.

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.

T. Stützle 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.

L. Paquete, M. Chiarandini, and T. Stützle. Pareto local optimum sets in the biobjective traveling salesman problem: An experimental study. In X. Gandibleux, M. Sevaux, K. Sörensen, 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.

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. Kröse, editors, Intelligent Autonomous Systems 8 - IAS 8, pages 29-36, Amsterdam, The Netherlands, 2004. IOS Press. Winner of Best Paper Award.

R. Groß 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.

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.

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.

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.

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.

M. Dorigo, E. Tuci, R. Groß, 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.

C. Blum and M. Dorigo. Deception in Ant Colony Optimization. In M. Dorigo, M. Birattari, C. Blum, L. M. Gambardella, F. Mondada, and T. Stützle, 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.

R. Groß 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. Stützle, 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.

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. Stützle, 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.

R. Groß 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 Guervós, J. A. Bullinaria, J. Rowe, P. Tiño, A. Kabán, 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.

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 Guervós, J. A. Bullinaria, J. Rowe, P. Tiño, A. Kabán, 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.

M. Pavlin, H. H. Hoos, and T. Stützle. 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.

K. Smyth, H. H. Hoos, and T. Stützle. 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.

L. Paquete and T. Stützle. 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.

T. Schiavinotto and T. Stützle. 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.

I. Dumitrescu and T. Stützle. 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.

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.

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.

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. Stützle. 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.

V. Trianni, R. Groß, 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.

J. Handl, J. Knowles, and M. Dorigo. On the Performance of Ant-Based Clustering. In A. Abraham, M. Köppen, 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.

L. Paquete and T. Stützle. 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.

M. Chiarandini and T. Stützle. 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.

L. Paquete and T. Stützle. 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.

M. Finger, T. Stützle, and H. R. Lourenço. 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.

T. Stützle 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, Mérida, Spain, 2002.

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.

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.

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.

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.

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.

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.

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.

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.

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.

H. R. Lourenço, O. Martin, and T. Stützle. A Beginner's Introduction to Iterated Local Search. In Proceedings of the Fourth Metaheuristics Conference, pages 1-6, Porto, Portugal, 2001.

M. den Besten and T. Stützle. 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.

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.

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.

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.

M. den Besten, T. Stützle, 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.

M. Dorigo and T. Stützle. 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.

T. Stützle, A. Grün, S. Linke, and M. Rüttger. 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 Guervós, 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.

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.

M. den Besten, T. Stützle, and M. Dorigo. An Ant Colony Optimization Application to the Single Machine Total Weighted Tardiness Problem. In M. Dorigo, M. Middendorf, and T. Stützle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, École polytechnique de Bruxelles, Université Libre de Bruxelles.

M. Dorigo and S. Magdelyns. Clustering Ants: A JAVA Implementation. In M. Dorigo, M. Middendorf, and T. Stützle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, École polytechnique de Bruxelles, Université Libre de Bruxelles.

L. M. Gambardella and M. Dorigo. Ant Colony Optimization for the Sequential Ordering Problem. In M. Dorigo, M. Middendorf, and T. Stützle, editors, Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, September 2000. IRIDIA, École polytechnique de Bruxelles, Université Libre de Bruxelles.

M. den Besten, T. Stützle, 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 Guervós, 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.

H. H. Hoos and T. Stützle. 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.

H. H. Hoos and T. Stützle. 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.

T. Stützle 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.

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.

E. Bonabeau, M. Dorigo, and G. Theraulaz. L'intelligence en essaim. In M.-P. Gleizes and P. Marcenac, editors, Ingénierie des Systèmes Multi-Agents, JFIADSMA'99, pages 25-38, Paris, France, 1999. Hermes Science Publications.

T. Stützle. 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.

T. Stützle. Parallelization Strategies for Ant Colony Optimization. In A. E. Eiben, T. Bäck, 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.

H. H. Hoos and T. Stützle. 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.

T. Stützle 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.

H. H. Hoos and T. Stützle. 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.

T. Stützle and H. H. Hoos. Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. In G. Grieser and W. S. Wittig, editors, Sechste Leipziger Informatiktage (LIT'98), Tagungsbericht, pages 71-76, 1998.

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.

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.

G. Di Caro and M. Dorigo. Ant Colonies for Adaptive Routing in Packet-switched Communications Networks. In A. E. Eiben, T. Bäck, 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.

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.

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.

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.

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.

T. Stützle and H. H. Hoos. The $\cal MAX$-$\cal MIN$ Ant System and Local Search for the Traveling Salesman Problem. In T. Bäck, 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.

O. Steinmann, A. Strohmaier, and T. Stützle. 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.

T. Stützle. $\cal MAX$-$\cal MIN$ Ant System for Combinatorial Optimization Problems. In O. Spaniol, editor, Innovationsmotor ”Graduiertenkolleg”, volume 21 of Aachener Beiträge zur Informatik, pages 95-112, 1997.

T. Stützle 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.

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.

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.

U. C. Sigmund and T. Stützle. 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.

G. Bol, E. Hotz, and T. Stützle. Neuronale Netze zur Klassifikation von Fehlern in der statistischen Prozeßregulierung. In H. Czap, P. Jaenecke, and H. P. Ohly, editors, Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle, Fortschritte in der Wissensrepräsentation, Band 4, pages 186-199. Indeks Verlag, 1996.

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.

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.

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.

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.

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.

T. Stützle. 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.

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.

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.

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.

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.

V. Gorrini and M. Dorigo. Une application des algorithmes évolutifs à un problème d'approvisionnement. In J.-M. Alliot, E. Lutton, E. Ronald, and M. Schoenauer, editors, Journées Evolution Artificielle, Evolution Artificielle 94, Toulouse, France, September 1994.

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.

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.

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.

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.

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.

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.

A. Colorni, M. Dorigo, and V. Maniezzo. An Investigation of Some Properties of an Ant Algorithm. In R. Männer 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.

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.

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.

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.

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.

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.

M. Dorigo, B. Schätz, 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.

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.

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.

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.

M. Dorigo, B. Schätz, 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.

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.

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.

A. Colorni, M. Dorigo, and V. Maniezzo. Genetic Algorithms and Highly Constrained Problems: The Time-Table Case. In H.-P. Schwefel and R. Männer, 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.

A. Colorni, M. Dorigo, and V. Maniezzo. Genetic Algorithms: A New Approach to the Timetable Problem. In M. Akgül et al., editors, Combinatorial Optimization, volume F 82 of NATO ASI Series, pages 235-239, Berlin, Germany, 1990. Springer.

Masters' thesis

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'Ingénieur, Université libre de Bruxelles, Brussels, Belgium, 2011.

V. Figueroa. Clustering methods applied to Wikipedia. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

T. Mouchart. Problématique de l'émergence de la coopération dans une population multi-agent. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

W. Sun. Self-organized flocking with conflicting target directions. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

L. Compère. Self Organised Task Allocation in Swarm Robotics: Partitionnement de tâches vu comme un problème du bandit à multiples bras. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

T. Roukny. Learning Dynamics in Networks. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

H. M. Phan. Etude et réalisation orientée objet d'une cellule minimale. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2011.

M. Brambilla. Collective Transport with Obstacle Avoidance through Socially-Mediated Negotiation. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ingénieur, Université libre de Bruxelles, Brussels, Belgium, 2011.

N. Mathews. Towards Cooperation in a Heterogeneous Robot Swarm through Spatially Targeted Communication. Rapport d'avancement de recherches, Formation Doctorale en Sciences de l'Ingénieur, Université libre de Bruxelles, Brussels, Belgium, 2010.

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'Ingénieur, Université libre de Bruxelles, Brussels, Belgium, 2010.

G. Verhaegen. Graph Analysis Applied to US Patents. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

C. Schoonenbergh. Etude exploratoire de Linq. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

A. Werth. Prediction of breast cancer survival from gene expression data using a k-NN algorithm. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

P. de Wachter. Combining graph topology with node features for semi supervised classification. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

V. H. Bui. Génération de code à partir d'un diagramme d'état-transition. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

A. Slosse. Etude topologique des réseaux sociaux: un exemple: “les musiciens de Jazz”. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2010.

M. Brambilla. Work in Progress: Robot Counting and Group Formation. Master's thesis, Politecnico di Milano, Milan, Italy, 2009.

A. Sidis. Etude du dÃ©placement en essaim de robots e-puck. Mémoire d'IngÃ©nieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2009.

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'IngÃ©nieur, Université libre de Bruxelles, Brussels, Belgium, 2009.

N. Catulle. Restructuration OrientÃ©e Objet d'un code de simulation de la rÃ©ponse immunitaire. Mémoire d'IngÃ©nieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2009.

M. Brambilla. A Reliable Distributed Algorithm for Group Size Estimation. Mémoire d'IngÃ©nieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2009.

P. Vitale. Génération automatique de code à partir des diagrammes d'état transition. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2008.

K. Yagoubi. Evolution de design de circuit logique. Mémoire d'Ingénieur Civil Informaticien, Université libre de Bruxelles, Brussels, Belgium, 2008.

A. Decugnière. Conception et Réalisation d'une Palette de Transport Intelligente pour le Projet d'Intelligence en Essaim “Swarmanoid”. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2008.

B. Poulain. Développement d'une Stratégie de Transport Collectif dans le cadre du Projet d'Intelligence en Essaim Swarmanoid : Spécification d'une Palette Intelligente et de Son Environnement de Simulation. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2008.

O. Colot. Model Based Search: The Importance of “A Priori” Knowledge. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

T. Huynh-Trung. Colonie de fourmis et optimisation multicritère. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

M. Zekkri. Modélisation et expérimentation sur une tâche de tri collectif avec les e-pucks. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

L. Bury. Conception et validation d'un simulateur pour les robots e-pucks. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

A. Dubois. Etude détaillées des capteurs et effecteurs de l'e-puck. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

O. Dédriche. Modélisation et expérimentation sur une tâche de choix collectif avec les e-pucks. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

F. Cuffaro. Robots Chain Construction Using Swarm Intelligence. Master's thesis, Politecnico di Milano, Milan, Italy, 2007.

G. Pini. Strategie evolutive per compiti di apprendimento sociale in robot autonomi. Master's thesis, Politecnico di Milano, Milan, Italy, 2007.

D. D. Tran-Dinh. Simulation 3D d'un groupe de robots. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2005.

M. Cirillo. A Formal Approach to the Comparison of Control Algorithms for Swarm Robotics. Master's thesis, Politecnico di Milano, Milan, Italy, 2005.

M. Manfrin. Ant Colony Optimization for the Vehicle Routing Problem. Master's thesis, Université libre de Bruxelles, Brussels, Belgium, Sep 2004.

S. Lanza. Active Vision in a Collective Robotics Domain. Master's thesis, Politecnico di Milano, Milan, Italy, 2004.

R. Ghizzioli. An Insect-Based Approach to the Dynamic Task Allocation Problem. Master's thesis, Università di Milano, Milan, Italy, 2004.

P. E. Meyer. Expériences sur le comportement collectif et social des robots. Master's thesis, Université libre de Bruxelles, Brussels, Belgium, 2003.

D. Darquennes. Implementation and Applications of Ant Colony Algorithms. Master's thesis, Université de Namur, Namur, Belgium, 2003.

J. Handl. Ant-based Methods for Tasks of Clustering and Topographic Mapping: Improvements, Evaluation and Comparison with Alternative Methods. Master's thesis, Universität Erlangen-Nürnberg, Nürnberg, Germany, 2003.

M. Manfrin. Metaeuristiche per la creazione degli orari del corsi universitari. Master's thesis, Università degli Studi di Firenze, Firenze, Italy, 2003.

S. Nouyan. Implementation of an Insect Agent Based Model for Distributed Factory Coordination. Master's thesis, Tech. Universität München, München, Germany, 2002.

M. Birattari. On the Formal Foundation of Ant Programming. Master's thesis, Université libre de Bruxelles, Brussels, Belgium, 2001.

A. Chouaya. Conception et implémentation en Java d'un simulateur du comportement de tri et de rangement chez les fourmis. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2001.

S. Magdelyns. Implémentation en Java d'algorithmes basés sur le comportement des fourmis pour l'analyse et la classification de données. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

P.-A. François. Missing Title. Master's thesis, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

M. den-Besten. Ants for the Single Machine Total Weighted Tardiness Scheduling Problem. Master's thesis, University of Amsterdam, Amsterdam, The Netherlands, 2000.

M. Birattari. Modelli Locali per l'Apprendimento: dall'approccio neuro-fuzzy al lazy learning. Master's thesis, Politecnico di Milano, Milan, Italy, 1997.

E. Persico. Unknown Title. Master's thesis, Politecnico di Milano, Milan, Italy, 1997.

T. Stützle. Vergleich neuronaler Netze zu Qualitätsregelkarten ohne Gedächtnis. Master's thesis, Universität Karlsruhe, Karlsruhe, Germany, 1994.

Miscellaneous

F. Abbaci-Gaultier. Test. Test, test 2011. Test.

M. Birattari. Race. \textsfR package, 2003. \texttthttp://cran.r-project.org.

M. Birattari and G. Bontempi. Lazy. \textsfR package, 2003. \texttthttp://cran.r-project.org.

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.

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.

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.

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.

F. Abbaci-Gaultier. WWW. WWWWW, WWW 1984. WWWW.

PhD thesis

M. Birattari. The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective. PhD thesis, Université libre de Bruxelles, Brussels, Belgium, 2004.

T. Stützle. Local Search Algorithms for Combinatorial Problems -- Analysis, Improvements, and New Applications. PhD thesis, Technischen Universität Darmstadt, Darmstadt, Germany, 1998.

M. Dorigo. The Robot Shaping Approach to Behavior Engineering. Thése d'Agrégation de l'Enseignement Supérieur, École polytechnique de Bruxelles, Université libre de Bruxelles, 1995.

M. Dorigo. Optimization, Learning and Natural Algorithms (in Italian). PhD thesis, Dipartimento di Elettronica, Politecnico di Milano, Milan, Italy, 1992.

Proceedings

H. H. Hoos and T. Stützle, editors. Proceedings of the IJCAI-03 Workshop on Stochastic Search Algorithms, August 2003.

H. H. Hoos and T. Stützle, editors. Proceedings of the IJCAI-01 Workshop on Stochastic Search Algorithms, August 2001.

H. H. Hoos and T. Stützle, editors. Proceedings of the IJCAI-01 Workshop on Empirical Methods in Artificial Intelligence, August 2001.

H. H. Hoos and T. Stützle, editors. Proceedings of the ECAI'00 Workshop on Empirical Methods in Artificial Intelligence, August 2000.

M. Dorigo, M. Middendorf, and T. Stützle, editors. Abstract proceedings of ANTS 2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms. IRIDIA, École polytechnique de Bruxelles, Université Libre de Bruxelles, September 2000.

Technical reports

J. Dubois-Lacoste, M. López-Ibáñez, and T. Stützle. Adaptive ”Anytime” Two-Phase Local Search. Technical Report TR/IRIDIA/2009-026, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, October 2009.

P. Balaprakash, M. Birattari, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, October 2009.

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, Université Libre de Bruxelles, Brussels, Belgium, August 2009.

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, Université Libre de Bruxelles, Brussels, Belgium, August 2009.

R. O'Grady, R. Groß, A. Christensen, and M. Dorigo. Distributed Control to Implement Self-Assembly Strategies for the Hill Crossing Task. Technical Report TR/IRIDIA/2009-022, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, August 2009.

M. S. bin Hussin and T. Stützle. Hierarchical Iterated Local Search for the Quadratic Assignment Problem. Technical Report TR/IRIDIA/2009-021, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2009.

J. Dubois-Lacoste, M. López-Ibáñez, and T. Stützle. Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. Technical Report TR/IRIDIA/2009-020, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2009.

M. López-Ibáñez and T. Stützle. An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. Technical Report TR/IRIDIA/2009-019, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2009.

M. Birattari, Z. Yuan, P. Balaprakash, and T. Stützle. F-Race and Iterated F-Race: An Overview. Technical Report TR/IRIDIA/2009-018, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2009.

P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Technical Report TR/IRIDIA/2009-017, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2009.

M. Brambilla and S. Magnenat. ASEBA for ARGoS. Technical Report TR/IRIDIA/2009-016, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

M. López-Ibáñez, L. Paquete, and T. Stützle. Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. Technical Report TR/IRIDIA/2009-015, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

?. Gutiérrez, A. Campo, D. Fernández, F. Monasterio-Huelin, and L. Magdalena. Social Odometry: A Self-Organized Distributed Location Algorithm. Technical Report TR/IRIDIA/2009-014, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

M. Dorigo and T. Stützle. Ant Colony Optimization: Overview and Recent Advances. Technical Report TR/IRIDIA/2009-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

C. Twomey, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

R. O'Grady, R. Groß, A. Christensen, F. Mondada, M. Bonani, and M. Dorigo. Swarm-bots to the Rescue. Technical Report TR/IRIDIA/2009-011, IRIDIA, Université Libre de Bruxelles, May 2009.

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, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

G. Pini. Towards Collective Robotics in a 3D Space: Simulation With Hand-bot Robots. Technical Report TR/IRIDIA/2009-009, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

F. Sambo, M. Montes de Oca, B. Di Camillo, and T. Stützle. 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, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

A. Brutschy. Task Allocation in Swarm Robotics. Towards a Method for Self-Organized Allocation to Complex Tasks. Technical Report TR/IRIDIA/2009-007, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2009.

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, Université Libre de Bruxelles, Brussels, Belgium, April 2009.

L. Paquete and T. Stützle. On the Performance of Local Search for the Biobjective Traveling Salesman Problem. Technical Report TR/IRIDIA/2009-005, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, March 2009.

R. O'Grady, A. Christensen, and M. Dorigo. Supervised Group Size Regulation in a Heterogeneous Robotic Swarm. Technical Report TR/IRIDIA/2009-004, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, March 2009.

C. Piscopo and M. Birattari. On the Role of Correspondence in the Similarity Approach. Technical Report TR/IRIDIA/2009-003, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, February 2009.

M. Montes de Oca, T. Stützle, K. Van den Enden, and M. Dorigo. Incremental Social Learning in Particle Swarms. Technical Report TR/IRIDIA/2009-002, IRIDIA, Faculté des Sciences Appliquées, Université Libre de Bruxelles, 2009.

M. Montes de Oca, J. Peña, T. Stützle, and M. Dorigo. Heterogeneous Particle Swarm Optimizers. Technical Report TR/IRIDIA/2009-001, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, January 2009.

P. Balaprakash, M. Birattari, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, 2008.

A. Decugnière, B. Poulain, A. Campo, B. Tartini, M. Osée, 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, Université Libre de Bruxelles, Brussels, Belgium, 2008.

C. Piscopo and M. Birattari. The explanation of the success of science. Technical Report TR/IRIDIA/2008-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2008.

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, Université Libre de Bruxelles, Brussels, Belgium, 2008.

S. Nouyan, R. Groß, M. Bonani, F. Mondada, and M. Dorigo. Teamwork in Self-Organised Robot Colonies. Technical Report TR/IRIDIA/2008-005, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, February 2008.

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, Université Libre de Bruxelles, Brussels, Belgium, January 2008.

Y. Borenstein and C. Philemotte. Preprocessing Fitness Functions. Technical Report TR/IRIDIA/2008-003, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, January 2008.

A. Christensen, R. O'Grady, and M. Dorigo. From Fireflies to Fault Tolerant Swarms of Robots. Technical Report TR/IRIDIA/2008-002, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, January 2008.

R. O'Grady, A. Christensen, and M. Dorigo. SWARMORPH: Multi-Robot Morphogenesis using Directional Self-Assembly. Technical Report TR/IRIDIA/2008-001, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, January 2008.

P. Balaprakash, M. Birattari, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, 2007.

E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos. SLS-DS 2007: Doctoral symposium on engineering stochastic local search algorithms. Technical Report TR/IRIDIA/2007-014, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo. Frankenstein's PSO: An Engineered Composite Particle Swarm Optimization Algorithm. Technical Report TR/IRIDIA/2007-006, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2007.

P. Balaprakash, M. Birattari, and T. Stützle. 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, Université Libre de Bruxelles, Brussels, Belgium, December 2007.

P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. An Experimental Study of Estimation-based Metaheuristics for the Probabilistic Traveling Salesman Problem. Technical Report TR/IRIDIA/2007-021, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, December 2007.

K. Socha and M. Dorigo. Ant Colony Optimization for Mixed-Variable Optimization Problems. Technical Report TR/IRIDIA/2007-019, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, October 2007.

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, Université Libre de Bruxelles, Brussels, Belgium, October 2007.

M. Montes de Oca. Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution. Technical Report TR/IRIDIA/2007-017, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, September 2007.

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, Université Libre de Bruxelles, Brussels, Belgium, September 2007.

E. Ridge, T. Stützle, M. Birattari, and H. H. Hoos. SLS-DS2007: Doctoral Symposium on Engineering Stochastic Local Search Algorithms. Technical Report TR/IRIDIA/2007-014, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, September 2007.

E. Tuci and C. Ampatzis. Evolution of Acoustic Communication Between Two Cooperating Robots. Technical Report TR/IRIDIA/2007-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2007.

P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Sampling Strategies and Local Search for Stochastic Combinatorial Optimization. Technical Report TR/IRIDIA/2007-012, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, June 2007.

P. Balaprakash, M. Birattari, and T. Stützle. Improvement Strategies for the F-Race algorithm: Sampling Design and Iterative Refinement. Technical Report TR/IRIDIA/2007-011, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2007.

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, Université Libre de Bruxelles, Brussels, Belgium, May 2007.

A. Christensen, R. O'Grady, and M. Dorigo. A Mechanism to Self-Assemble Patterns with Autonomous Robots. Technical Report TR/IRIDIA/2007-009, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, May 2007.

R. O'Grady, R. Groß, 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, Université Libre de Bruxelles, Brussels, Belgium, April 2007.

M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo. Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. Technical Report TR/IRIDIA/2007-006, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, March 2007.

M. Birattari, P. Balaprakash, T. Stützle, and M. Dorigo. Estimation-based Local Search for Stochastic Combinatorial Optimization. Technical Report TR/IRIDIA/2007-003, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, February 2007.

S. Nouyan and M. Dorigo. Path Formation in a Robot Swarm. Technical Report TR/IRIDIA/2007-002, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, February 2007.

C. Piscopo and M. Birattari. Philippe Smets and the Transferable Belief Model: An epistemological perspective. Technical Report TR/IRIDIA/2007-001, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, January 2007.

P. Pellegrini and M. Birattari. Some Combinatorial Optimization Problems on which Ant Colony Optimization is Invariant. Technical Report TR/IRIDIA/2006-026, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2006.

M. Dorigo, M. Birattari, and T. Stützle. Ant colony optimization. Artificial ants as a computational intelligence technique. Technical Report TR/IRIDIA/2006-023, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2006.

A. Campo, S. Nouyan, M. Birattari, R. Groß, and M. Dorigo. Negotiation of goal direction for cooperative transport. Technical Report TR/IRIDIA/2006-014, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2006.

M. Montes de Oca, T. Stützle, M. Birattari, and M. Dorigo. A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions. Technical Report TR/IRIDIA/2006-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2006.

P. Balaprakash, M. Birattari, T. Stützle, 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, Université Libre de Bruxelles, Brussels, Belgium, 2006.

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, Université Libre de Bruxelles, Brussels, Belgium, 2006.

M. Manfrin, M. Birattari, T. Stützle, and M. Dorigo. Parallel Ant Colony Optimization for the Traveling Salesman Problem. Technical Report TR/IRIDIA/2006-007, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2006.

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, Université Libre de Bruxelles, Brussels, Belgium, 2006.

K. Socha and C. Blum. Ant Colony Optimization. Technical Report TR/IRIDIA/2006-009, IRIDIA, Université Libre de Bruxelles, April 2006.

H. Bersini. Formalizing Emergence: the Natural After-Life of Artificial Life. Technical Report TR/IRIDIA/2006-006, IRIDIA, Université Libre de Bruxelles, March 2006.

F. Vicentini and E. Tuci. Swarmod: a 2D sbot's simulator. Technical Report TR/IRIDIA/2006-005, IRIDIA, Université Libre de Bruxelles, February 2006.

R. Ruiz and T. Stützle. 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, Université Libre de Bruxelles, January 2006. Submitted to European Journal of Operational Research.

L. Paquete and T. Stützle. Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review. Technical Report TR/IRIDIA/2006-001, IRIDIA, Université Libre de Bruxelles, January 2006. Submitted.

M. Birattari, P. Pellegrini, and M. Dorigo. On the Invariance of Ant System. Technical Report TR/IRIDIA/2005-036, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2005.

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, Université Libre de Bruxelles, Brussels, Belgium, 2005.

P. Pellegrini and M. Birattari. Instance generator for the vehicle routing problem with stochastic demand. Technical Report TR/IRIDIA/2005-010, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2005.

M. Birattari. The IridiaTrCover package for \LaTeX: How to typeset documents for the IRIDIA - Technical Report Series. Technical Report TR/IRIDIA/2005-006, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2005.

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, Université Libre de Bruxelles, Brussels, Belgium, 2005.

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, Université Libre de Bruxelles, Brussels, Belgium, 2005.

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, Université Libre de Bruxelles, December 2005.

H. Bersini, T. Lenaerts, and F. C. Santos. Growing Biological Networks: Beyond the Gene-Duplication Model. Technical Report TR/IRIDIA/2005-035, IRIDIA, Université Libre de Bruxelles, December 2005.

T. Lenaerts, A. Defaweux, P. van Remortel, and A. Nowé. Evolutionary Game Dynamics of Intrademic Multilevel Selection. Technical Report TR/IRIDIA/2005-034, IRIDIA, Université Libre de Bruxelles, December 2005.

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, Université Libre de Bruxelles, December 2005.

L. Paquete, T. Stützle, and M. López-Ibáñez. On the Design and Analysis of SLS-Algorithms for Multiobjective Combinatorial Optimization Problems. Technical Report TR/IRIDIA/2005-029, IRIDIA, Université Libre de Bruxelles, November 2005.

P. Balaprakash. Ant Colony Optimization under Uncertainty. Technical Report TR/IRIDIA/2005-028, IRIDIA, Université Libre de Bruxelles, November 2005.

L. Paquete, T. Stützle, and M. López-Ibáñez. On the Design and Analysis of SLS Algorithms for Multiobjective Combinatorial Optimization Problems. Technical Report TR/IRIDIA/2005-027, IRIDIA, Université Libre de Bruxelles, November 2005. Submitted.

H. Bersini. La vie artificielle ou la dissection digitale. Technical Report TR/IRIDIA/2005-022, IRIDIA, Université Libre de Bruxelles, October 2005.

R. O'Grady. Adaptive Swarm Robotics in Rough Terrain Navigation. Technical Report TR/IRIDIA/2005-017, IRIDIA, Université Libre de Bruxelles, October 2005.

P. Pellegrini. Application of Two Nearest Neighbor Approaches to a Rich Vehicle Routing Problem. Technical Report TR/IRIDIA/2005-015, IRIDIA, Université Libre de Bruxelles, October 2005.

A. Christensen. Efficient Neuro-Evolution of Hole-avoidance and Phototaxis for a Swarm-bot. Technical Report TR/IRIDIA/2005-014, IRIDIA, Université Libre de Bruxelles, October 2005.

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, Université Libre de Bruxelles, September 2005.

M. Birattari. The IridiaTrCover package for LATEX: How to typeset documents for the IRIDIA ? Technical Report Series. Technical Report TR/IRIDIA/2005-006, IRIDIA, Université Libre de Bruxelles, April 2005.

T. Lenaerts, B. Jansen, K. Tuyls, and B. De Vylder. The Evolutionary Language Game: an orthogonal approach. Technical Report TR/IRIDIA/2005-001, IRIDIA, Université Libre de Bruxelles, January 2005.

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.

M. Birattari. Notes on the existence of the expected value. Technical Report TR/IRIDIA/2004-020, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2004.

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, Université Libre de Bruxelles, Brussels, Belgium, 2004.

T. H. Labella and M. Birattari. Polyphemus: De Abacorum Racemo. Technical Report TR/IRIDIA/2004-015, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2004.

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, Université Libre de Bruxelles, Brussels, Belgium, 2004.

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.

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.

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.

L. Paquete, T. Schiavinotto, and T. Stützle. On Local Optima in Multiobjective Combinatorial Optimization Problems. Technical Report AIDA-04-10, FG Intellektik, FB Informatik, Technische Universität Darmstadt, November 2004.

M. Risler, M. Chiarandini, L. Paquete, T. Schiavinotto, and T. Stützle. An algorithm for the car sequencing problem of the ROADEF 2005 Challenge. Technical Report AIDA-04-06, FG Intellektik, FB Informatik, Technische Universität Darmstadt, March 2004.

G. Bontempi, M. Birattari, and P. E. Meyer. Combining lazy learning, racing and subsampling for effective feature selection. Technical Report 527, Département d'Informatique, Université Libre de Bruxelles, Brussels, Belgium, 2004.

G. Bontempi and M. Birattari. Sample average approximation for model selection. Technical Report 525, Département d'Informatique, Université Libre de Bruxelles, Brussels, Belgium, 2004.

M. Birattari and G. Bontempi. The lazy package for R. Lazy learning for local regression. Technical Report TR/IRIDIA/2003-038, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2003.

M. Birattari. The race package for R. Racing methods for the selection of the best. Technical Report TR/IRIDIA/2003-037, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2003.

C. Piscopo and M. Birattari. Metaphysical Arguments in Artificial Intelligence: A case study. Technical Report TR/IRIDIA/2003-026, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2003.

I. Dumitrescu and T. Stützle. A Survey of Methods that Combine Local Search and Exact Algorithms. Technical Report AIDA-03-07, FG Intellektik, FB Informatik, Technische Universität Darmstadt, 2003. Submitted to European Journal of Operational Research.

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 Universität Darmstadt, Darmstadt, Germany, 2003.

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 Universität Darmstadt, Darmstadt, Germany, 2003.

M. Chiarandini, I. Dumitrescu, and T. Stützle. Local Search for the Graph Colouring Problem--A Computational Study. Technical Report AIDA-03-01, FG Intellektik, FB Informatik, Technische Universität Darmstadt, 2003.

T. Stützle. Iterated Local Search for the Quadratic Assignment Problem (Revised Version). Technical Report , FG Intellektik, FB Informatik, Technische Universität Darmstadt, 2003.

C. Piscopo and M. Birattari. Invention vs.\ Discovery. A Critical Discussion. Technical Report TR/IRIDIA/2002-13, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2002.

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, Université Libre de Bruxelles, Brussels, Belgium, 2002.

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. Stützle. 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.

M. Chiarandini and T. Stützle. An Experimental Analysis of Metaheuristics for Course Timetabling. Technical Report AIDA-02-04, FG Intellektik, FB Informatik, Technische Universität Darmstadt, 2002.

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 Universität Darmstadt, Darmstadt, Germany, 2002.

M. Birattari, T. Stützle, L. Paquete, and K. Varrentrapp. A Racing Algorithm for Configuring Metaheuristics. Technical Report AIDA-02-01, FG Intellektik, FB Informatik, Technische Universität Darmstadt, Darmstadt, Germany, 2002.

K. Varrentrapp, T. Stützle, 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 Universität Darmstadt, 2002.

L. Paquete and T. Stützle. Empirical Analysis of Tabu Search for the Lexicographic Optimization of the Examination Timetabling Problem. Technical Report AIDA-02-02, FG Intellektik, FB Informatik, Technische Universität Darmstadt, 2002.

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, Université Libre de Bruxelles, Brussels, Belgium, 2001.

M. Zlochin, M. Birattari, N. Meuleau, and M. Dorigo. Model-based Search for Combinatorial Optimization. Technical Report TR/IRIDIA/2001-015, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2001.

E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Data-driven techniques for direct adaptive control: The lazy and the fuzzy approaches. Technical Report TR/IRIDIA/2001-004, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2001.

M. Birattari, L. Paquete, T. Stützle, 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 Universität Darmstadt, Darmstadt, Germany, 2001.

T. Stützle, 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 Universität Darmstadt, 2001.

C. Piscopo, M. Birattari, and A. Saffiotti. Some philosophical issues about the treatment of uncertainty in artificial intelligence. Technical Report 3, Department of Technology, Örebro University, Örebro, Sweden, 2001.

E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Data-Driven Techniques for Divide-and-Conquer Adaptive Control. Technical Report TR/IRIDIA/2000-025, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

G. Bontempi, E. Bertolissi, and M. Birattari. Predicting stock markets in boundary conditions with local models. Technical Report TR/IRIDIA/2000-022, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

G. Bontempi, M. Birattari, and H. Bersini. A model selection approach for local learning. Technical Report TR/IRIDIA/2000-016, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Multiple models for adaptive control: The lazy and the fuzzy Approach. Technical Report TR/IRIDIA/2000-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

E. Bertolissi, M. Birattari, G. Bontempi, A. Duchâteau, and H. Bersini. Lazy learning vs.\ fuzzy systems: Two multiple-model approaches for adaptive control. Technical Report TR/IRIDIA/2000-003, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 2000.

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.

T. Stützle and H. H. Hoos. Analyzing the Run-time Behaviour of Iterated Local Search for the TSP. Technical Report IRIDIA/2000-01, IRIDIA, Université Libre de Bruxelles, 2000.

M. Birattari. First Project: IRIDIA and FaFer. Technical Report TR/IRIDIA/1999-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1999.

G. Bontempi and M. Birattari. A bound on the cross-validation estimate for algorithm assessment. Technical Report TR/IRIDIA/1999-010, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1999.

G. Bontempi and M. Birattari. Toolbox for Neuro-Fuzzy Identification and Data Analysis. For use with Matlab. Technical Report TR/IRIDIA/1999-009, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1999.

M. Birattari and G. Bontempi. The Lazy Learning Toolbox. For Use with Matlab. Technical Report TR/IRIDIA/1999-007, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1999.

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, Université Libre de Bruxelles, Brussels, Belgium, 1999.

G. Bontempi, M. Birattari, and H. Bersini. Local learning for iterated time series prediction. Technical Report TR/IRIDIA/1999-004, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1999.

T. Stützle. Iterated Local Search for the Quadratic Assignment Problem. Technical Report AIDA-99-03, FG Intellektik, FB Informatik, Technische Universität Darmstadt, 1999.

H. H. Hoos and T. Stützle. Systematic versus Local Search. Technical Report 99-06, Computer Science Department, University of British Columbia, Vancouver, Canada, 1999.

M. Birattari, G. Bontempi, and H. Bersini. Lazy learning meets the recursive least squares algorithm. Technical Report TR/IRIDIA/1998-002, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1998.

T. Stützle. Applying Iterated Local Search to the Permutation Flow Shop Problem. Technical Report AIDA-98-04, FG Intellektik, FB Informatik, Technische Universität Darmstadt, August 1998.

H. H. Hoos and T. Stützle. Characterizing the Run-time Behavior of Stochastic Local Search. Technical Report AIDA-98-01, FG Intellektik, FB Informatik, Technische Universität Darmstadt, January 1998.

G. Bontempi, M. Birattari, and H. Bersini. Lazy learning for modeling and control design. Technical Report TR/IRIDIA/1997-016, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1997.

H. Bersini, G. Bontempi, and M. Birattari. Adaptive Memory-Based Regression Methods. Technical Report TR/IRIDIA/1997-013, IRIDIA, Université Libre de Bruxelles, Brussels, Belgium, 1997.

T. Stützle. $\cal MAX$-$\cal MIN$ Ant System for the Quadratic Assignment Problem. Technical Report AIDA-97-4, FG Intellektik, FB Informatik, Technische Universität Darmstadt, July 1997.

H. H. Hoos and T. Stützle. A Characterization of GSAT's Performance on a Class of Hard Structured Problems. Technical Report AIDA-96-20, FG Intellektik, FB Informatik, Technische Universität Darmstadt, December 1996.

T. Stützle 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 Universität Darmstadt, August 1996.

T. Stützle. 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.

V. Maniezzo, A. Colorni, and M. Dorigo. The Ant System Applied to the Quadratic Assignment Problem. Technical Report TR/IRIDIA/94-28, IRIDIA, École polytechnique de Bruxelles, Université Libre de Bruxelles, 1994.

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

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.

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.

M. Dorigo. Parallel Ant System: An Experimental Study. Unpublished manuscript, 1993.

Updated: 2017-03-27