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Le problème de la patrouille multiagent. Étude de convergence de l'évaluation des stratégies cycliques.

, , and . Rev. d'Intelligence Artif., 28 (6): 665-687 (2014)

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Multi-Agent Environment for Modelling and Solving Dynamic Transport Problems., , , and . Comput. Informatics, 28 (3): 277-298 (2009)Hybridation de métaheuristiques pour la résolution distribuée de problèmes d'optimisation spatialisés. (Hybrid métaheuristics for distributed solving of euclidean optimization problems).. (2008)Self-organizing maps and full GPU parallel approach to graph matching., , and . Comput. Commun., (2023)From the TSP to the Dynamic VRP: An Application of Neural Networks in Population Based Metaheuristic., , and . Metaheuristics for Dynamic Optimization, volume 433 of Studies in Computational Intelligence, Springer, (2013)A cooperative and self-adaptive metaheuristic for the facility location problem., , and . GECCO, page 317-324. ACM, (2009)GPU implementation of Borůvka's algorithm to Euclidean minimum spanning tree based on Elias method., and . Appl. Soft Comput., (2019)Le problème de la patrouille multiagent. Étude de convergence de l'évaluation des stratégies cycliques., , and . Rev. d'Intelligence Artif., 28 (6): 665-687 (2014)A memetic neural network for the Euclidean traveling salesman problem., and . Neurocomputing, 72 (4-6): 1250-1264 (2009)Un framework organisationnel et multi-agent pour la conception de métaheuristiques., , and . Rev. d'Intelligence Artif., 24 (6): 787-816 (2010)Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism., , and . J. Heuristics, 16 (6): 859-879 (2010)