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Communication dans un congrès

Controlling behavioral and structural parameters in evolutionary algorithms

Abstract :

Evolutionary algorithms have been efficiently used for solv-ing combinatorial problems. However a successful application rely on a good definition of the algorithm structure and a correct search guidance. Similarly to the majority of metaheuristic methods, the performance of an evolutionary algorithm is intrinsically linked to its ability to properly manage the balance between the exploitation and the exploration ofthe search space. Recently, new approaches have emerged to make thesealgorithms more independent, especially by automating the setting ofparameters. We propose a new approach whose objective is twofold: (1) to manage an important set of potential operators, whose performances are a priori unknown, and (2) to dynamically control the behavior of operators in a evolutionary algorithm, thanks to their probabilities of application.

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Communication dans un congrès
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https://hal.univ-angers.fr/hal-03255570
Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 9 juin 2021 - 16:08:19
Dernière modification le : jeudi 10 juin 2021 - 03:39:57

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Jorge Maturana, Frédéric Lardeux, Frédéric Saubion. Controlling behavioral and structural parameters in evolutionary algorithms. Artifical Evolution, 2010, Non spécifié, France. ⟨10.1007/978-3-642-14156-0⟩. ⟨hal-03255570⟩

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