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Communication dans un congrès

From Adaptive to More Dynamic Control in Evolutionary Algorithms

Abstract :

Adaptive evolutionary algorithms have been widely developed to improve the management of the balance between intensification and diversification during the search. Nevertheless, this balance may need to be dynamically adjusted over time. Based on previous works on adaptive operator selection, we investigate in this paper how an adaptive controller can be used to achieve more dynamic search scenarios and what is the real impact of possible combinations of control components. This study may be helpful for the development of more autonomous and efficient evolutionary algorithms.

Type de document :
Communication dans un congrès
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Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 9 juin 2021 - 15:13:41
Dernière modification le : jeudi 10 juin 2021 - 03:39:58

Lien texte intégral




Giacomo Di Tollo, Frédéric Lardeux, Jorge Maturana, Frédéric Saubion. From Adaptive to More Dynamic Control in Evolutionary Algorithms. Evolutionary Computation in Combinatorial Optimization, 2011, Turin, Italy. pp.130 - 141, ⟨10.1007/978-3-642-20364-0_12⟩. ⟨hal-03255423⟩



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