Treffer: Autonomous Local Search Algorithms with Island Representation
Title:
Autonomous Local Search Algorithms with Island Representation
Authors:
Contributors:
Laboratoire d'Etudes et de Recherche en Informatique d'Angers (LERIA), Université d'Angers (UA)
Source:
6th International Conference. :390-395
Publisher Information:
HAL CCSD; Springer, 2012.
Publication Year:
2012
Collection:
collection:UNIV-ANGERS
collection:LERIA
collection:LERIA
Subject Terms:
Subject Geographic:
Original Identifier:
OKINA: ua4457
HAL: hal-03255434
HAL: hal-03255434
Document Type:
Konferenz
conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-34413-8_33
DOI:
10.1007/978-3-642-34413-8_33
Access URL:
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.03255434v1
Database:
HAL
Weitere Informationen
Date du colloque : 01/2012
The aim of this work is to use this dynamic island model to autonomously select local search operators within a classical evolutionary algorithm. In order to assess the relevance of this approach, we will use the model considering a population-based local search algorithm, with no crossover and where each island is associated to a particular local search operator. Here, contrary to recent works [6], the goal is not to forecast the most promising crossovers between individuals like in classical island models, but to detect at each time of the search the most relevant LS operators. This application constitutes an original approach in defining autonomous algorithms.