Controlling behavioral and structural parameters in evolutionary algorithms - Université d'Angers Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Controlling behavioral and structural parameters in evolutionary algorithms

Résumé

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.

Fichier principal
Vignette du fichier
p10_Maturana.pdf (334.15 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03255570 , version 1 (14-10-2021)

Identifiants

Citer

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

Collections

UNIV-ANGERS LERIA
19 Consultations
39 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More