Result: From Adaptive to More Dynamic Control in Evolutionary Algorithms
Title:
From Adaptive to More Dynamic Control in Evolutionary Algorithms
Contributors:
Dipartimento di Management [Venezia], University of Ca’ Foscari [Venice, Italy], Laboratoire d'Etudes et de Recherche en Informatique d'Angers (LERIA), Université d'Angers (UA), Instituto de Informática, Universidad Austral de Chile
Source:
Evolutionary Computation in Combinatorial Optimization. :130-141
Publisher Information:
HAL CCSD; Springer Berlin Heidelberg, 2011.
Publication Year:
2011
Collection:
collection:UNIV-ANGERS
collection:LERIA
collection:LERIA
Subject Terms:
Subject Geographic:
Original Identifier:
OKINA: ua4451
HAL: hal-03255423
HAL: hal-03255423
Document Type:
Conference
conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-20364-0_12
DOI:
10.1007/978-3-642-20364-0_12
Access URL:
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.03255423v1
Database:
HAL
Further Information
Date du colloque : 01/01/2011
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.