PhD Theses

Ongoing

• Stochastic local search algorithms for multi-objective optimization problems
  M. S. bin Hussin
• Task Allocation Applied to Swarm Robotics
  A. Campo
• Parallelization of ant colony optimization algorithms
  M. Manfrin
• Study and Development of Coordination Policies for Swarms of Heterogeneous Robots
  J. Martinez Gonzales
• Communication Policies in Swarm Intelligent Systems
  M. Montes de Oca
• Swarm Robotics: Controlling Swarms of Heterogeneous Robots
  C. Pinciroli
• Information encoding and processing in recurrent neural networks through complex dynamics
  U. Salihoglu

Concluded

• An exploration on the evolution of communication using a robot-based model
  C. Ampatzis
• Estimation-based Metaheuristics for Stochastic Combinatorial Optimization: Case Studies in Stochastic Routing Problems.
  P. Balaprakash
• Ant Colony Optimization and Local Search for the Probabilistic Traveling Salesman Problem: A Case Study in Stochastic Combinatorial Optimization
  L. Bianchi
• The Problem of Tuning Metaheuristics, as Seen from a Machine Learning Perspective
  M. Birattari
• Theoretical and Practical Aspects of Ant Colony Optimization
  C. Blum
• Towards Fault Tolerant Swarms of Robots
  A. Christensen
• Ant Colony Optimization and its Application to Adaptive Routing in Telecommunication Networks
  G. Di Caro
• Self-Assembling Robots
  R. Groß
• Division of Labour in Groups of Robots
  T. H. Labella
• Combining and Revising Classification Systems to Improve Prediction Accuracy
  P. Latinne
• Storing information through complex dynamics in Recurrent Neural Networks
  C. Molter
• Exploration and Path Formation in Swarm Robotics
  S. Nouyan
• L'heuristique de la Gestalt : une méta-modélisation dynamique en ligne comme assistance du processus d'une métaheuristique
  C. Philemotte
• Topological Evolution: From Biological to Social Networks
  F. C. Santos
• Ant Colony Optimization for Continuous and Mixed-Variable Domains
  K. Socha
• On the Evolution of Self-Organising Behaviours in a Swarm of Autonomous Robots
  V. Trianni
• CONDOR: a constrained, non-linear, derivative-free parallel optimizer for continuous, high computing load, noisy objective functions
  F. Vanden Berghen
• Algorithms for the Analysis of Gene Expression Data
  D. Venet