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Poster De Conférence Année : 2015

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection

Résumé

Distributed Adaptive Metaheuristics Selection (DAMS) is a framework dedicated to adaptive optimization in distributed environments. We investigate the design of adaptive strategies allowing to control the local selection of metaheuristics and to coordinate their local executions with the aim of maximizing the performance of the whole distributed system. Inspired by the multi-armed bandit framework, we propose two distributed strategies. Our experimental analysis is performed on the simple oneMax problem for which the best metaheuristics that should be executed is known.
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Dates et versions

hal-01178619 , version 1 (09-09-2021)

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Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection. Genetic and Evolutionary Computation Conference 2015, Jul 2015, Madrid, Spain. ACM, Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, GECCO Companion '15, pp.1405--1406, 2015, Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ⟨10.1145/2739482.2764694⟩. ⟨hal-01178619⟩
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