From Adaptive to More Dynamic Control in Evolutionary Algorithms

TitreFrom Adaptive to More Dynamic Control in Evolutionary Algorithms
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Année2011
LangueAnglais
Date du colloque2011
Titre du colloqueEvolutionary Computation in Combinatorial Optimization
Volume6622
Pagination130 - 141
AuteurDi Tollo, Giacomo, Lardeux, Frédéric , Maturana, Jorge, Saubion, Frédéric
PaysItalie
EditeurSpringer Berlin Heidelberg
VilleTurin
ISBN978-3-642-20363-3 / 978-3-642-20364-0
Mots-clésalgorithm analysis and problem complexity, Computation by Abstract Devices, Discrete Mathematics in Computer Science, pattern recognition, Probability and Statistics in Computer Science
Résumé en anglais

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.

Notes

Date du colloque : 01/01/2011

URL de la noticehttp://okina.univ-angers.fr/publications/ua4451
DOI10.1007/978-3-642-20364-0_12
Lien vers le document en ligne

http://link.springer.com/chapter/10.1007/978-3-642-20364-0_12