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dc.date.accessioned 2009-10-09T11:25:30Z
dc.date.available 2009-10-09T03:00:00Z
dc.date.issued 2009-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9650
dc.description.abstract The performance of two selection mechanisms used in the most popular variant of differential evolution, known as DE/rand/1/bin, are compared in the solution of constrained numerical optimization problems. Four performance measures proposed in the specialized literature are used to analyze the capabilities of each selection mechanism to reach the feasible region of the search space, to find the vicinity of the feasible global optimum and the computational cost (measured by the number of evaluations) required. Two parameters of the differential evolution algorithm are varied to determine the most convenient values. A set of problems with different features is chosen to test both selection mechanisms and some findings are extracted from the results obtained. en
dc.format.extent 43-52 es
dc.language en es
dc.subject constrained numerical optimization en
dc.subject differential evolution en
dc.subject selection mechanisms es
dc.title Global and local selection in differential evolution for constrained numerical optimization en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-1.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Mezura-Montes, Efrén es
sedici.creator.person Monterrosa-López, Carlos A. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000005277 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 9, no. 2 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)