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Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures
Jimenez Laredo, Juan Luis; Dorronsoro, Bernabe; Fernandes, Carlos et al.
2013In Nicosia, G.; Pardalos, P. (Eds.) Learning and Intelligent Optimization
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Keywords :
Selection schemes; Evolutionary algorithms; Parallelization
Abstract :
[en] This paper proposes a new selection scheme for Evolutionary Algorithms (EAs) based on altruistic cooperation between individuals. Cooperation takes place every time an individual undergoes selection: the individual decreases its own fitness in order to improve the mating chances of worse individuals. On the one hand, the selection scheme guarantees that the genetic material of fitter individuals passes to subsequent generations as to decrease their fitnesses individuals have to be firstly selected. On the other hand, the scheme restricts the number of times an individual can be selected not to take over the entire population. We conduct an empirical study for a parallel EA version where cooperative selection scheme is shown to outperform binary tournament: both selection schemes yield the same qualities of solutions but cooperative selection always improves the times to solutions.
Disciplines :
Computer science
Author, co-author :
Jimenez Laredo, Juan Luis ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Dorronsoro, Bernabe;  University of Lille > Laboratoire d’Informatique Fondamentale de Lille
Fernandes, Carlos;  Technical University of Lisbon > Laseeb
Merelo, Juan Julian;  Univeristy of Granada > Geneura lab
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures
Publication date :
2013
Event name :
LION 7
Event place :
Catania, Italy
Event date :
from 7-01-2013 to 11-01-2013
Audience :
International
Main work title :
Learning and Intelligent Optimization
Editor :
Nicosia, G.
Pardalos, P.
Publisher :
Springer-Verlag
ISBN/EAN :
978-3-642-44972-7
Collection name :
LNCS 7997
Pages :
444-449
Peer reviewed :
Peer reviewed
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since 05 January 2014

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