Reference : Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Pa...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/14122
Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures
English
Jimenez Laredo, Juan Luis mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Dorronsoro, Bernabe mailto [University of Lille > Laboratoire d’Informatique Fondamentale de Lille]
Fernandes, Carlos mailto [Technical University of Lisbon > Laseeb]
Merelo, Juan Julian mailto [Univeristy of Granada > Geneura lab]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2013
Learning and Intelligent Optimization
Nicosia, G.
Pardalos, P.
Springer-Verlag
LNCS 7997
444-449
Yes
International
978-3-642-44972-7
LION 7
from 7-01-2013 to 11-01-2013
Catania
Italy
[en] Selection schemes ; Evolutionary algorithms ; Parallelization
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/14122
10.1007/978-3-642-44973-4_47
http://link.springer.com/chapter/10.1007%2F978-3-642-44973-4_47
The original publication is available at www.springerlink.com

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