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Communication dans un congrès

Autonomous Local Search Algorithms with Island Representation

Abstract :

The aim of this work is to use this dynamic island model to autonomously select local search operators within a classical evolutionary algorithm. In order to assess the relevance of this approach, we will use the model considering a population-based local search algorithm, with no crossover and where each island is associated to a particular local search operator. Here, contrary to recent works [6], the goal is not to forecast the most promising crossovers between individuals like in classical island models, but to detect at each time of the search the most relevant LS operators. This application constitutes an original approach in defining autonomous algorithms.

Type de document :
Communication dans un congrès
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Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 9 juin 2021 - 15:14:07
Dernière modification le : jeudi 10 juin 2021 - 03:39:58




Adrien Goëffon, Frédéric Lardeux. Autonomous Local Search Algorithms with Island Representation. 6th International Conference, LION 6, 2012, Paris, France. pp.390 - 395, ⟨10.1007/978-3-642-34413-8_33⟩. ⟨hal-03255434⟩



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