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Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism.

, , and . J. Heuristics, 16 (6): 859-879 (2010)

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Two Look-Ahead Strategies for Local-Search Metaheuristics., , and . LION, volume 8426 of Lecture Notes in Computer Science, page 187-202. Springer, (2014)A heuristic approach to schedule reoptimization in the context of interactive optimization.. GECCO, page 461-468. ACM, (2014)Interactive planning system for forest road location., , and . J. Heuristics, 21 (6): 789-817 (2015)A cooperative and self-adaptive metaheuristic for the facility location problem., , and . GECCO, page 317-324. ACM, (2009)An interactive heuristic approach for the P-forest problem., , and . SMC, page 1009-1013. IEEE, (2011)Improving local-search metaheuristics through look-ahead policies., , and . Ann. Math. Artif. Intell., 76 (1-2): 59-82 (2016)Un framework organisationnel et multi-agent pour la conception de métaheuristiques., , and . Rev. d'Intelligence Artif., 24 (6): 787-816 (2010)Une approche organisationnelle et multi-agent pour la modélisation et l'implantation de métaheuristiques, Application aux problèmes d'optimisation de réseaux de transports. (An organizational and multi-agent approach to design metaheuristics, Application to transport networks optimization problems).. Université de technologie de Belfort-Montbéliard, France, (2008)Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism., , and . J. Heuristics, 16 (6): 859-879 (2010)A Coalition-Based Metaheuristic for the vehicle routing problem., , and . IEEE Congress on Evolutionary Computation, page 1176-1182. IEEE, (2008)