Global and local selection in differential evolution for constrained numerical optimization

Autores
Mezura-Montes, Efrén; Monterrosa-López, Carlos A.
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Facultad de Informática
Materia
Ciencias Informáticas
constrained numerical optimization
differential evolution
selection mechanisms
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9650
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/9650
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Global and local selection in differential evolution for constrained numerical optimizationMezura-Montes, EfrénMonterrosa-López, Carlos A.Ciencias Informáticasconstrained numerical optimizationdifferential evolutionselection mechanismsThe 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.Facultad de Informática2009-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf43-52http://sedici.unlp.edu.ar/handle/10915/9650enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-1.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:50:44Zoai:sedici.unlp.edu.ar:10915/9650Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:50:45.21SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Global and local selection in differential evolution for constrained numerical optimization
title Global and local selection in differential evolution for constrained numerical optimization
spellingShingle Global and local selection in differential evolution for constrained numerical optimization
Mezura-Montes, Efrén
Ciencias Informáticas
constrained numerical optimization
differential evolution
selection mechanisms
title_short Global and local selection in differential evolution for constrained numerical optimization
title_full Global and local selection in differential evolution for constrained numerical optimization
title_fullStr Global and local selection in differential evolution for constrained numerical optimization
title_full_unstemmed Global and local selection in differential evolution for constrained numerical optimization
title_sort Global and local selection in differential evolution for constrained numerical optimization
dc.creator.none.fl_str_mv Mezura-Montes, Efrén
Monterrosa-López, Carlos A.
author Mezura-Montes, Efrén
author_facet Mezura-Montes, Efrén
Monterrosa-López, Carlos A.
author_role author
author2 Monterrosa-López, Carlos A.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
constrained numerical optimization
differential evolution
selection mechanisms
topic Ciencias Informáticas
constrained numerical optimization
differential evolution
selection mechanisms
dc.description.none.fl_txt_mv 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.
Facultad de Informática
description 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.
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9650
url http://sedici.unlp.edu.ar/handle/10915/9650
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct09-1.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
43-52
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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