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Communication Dans Un Congrès Année : 2012

Autonomous Local Search Algorithms with Island Representation

Résumé

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.

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Dates et versions

hal-03255434 , version 1 (14-10-2021)

Identifiants

Citer

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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