A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation

Autores
Tardivo, María Laura; Cagnina, Leticia; Leguizamón, Guillermo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formula for determining the neighborhood in which to explore towards better solutions. We present DE+LS(1) in which the closer neighborhood to the best population individual is explored, and DE+LS(2) in which the neigh- borhood of the two best population individuals is examined. The results showed that with DE+LS(2) improvements are not signi cant, but using DE+LS(1) an improvement is achieved, especially for large dimensions, in terms of solutions quality and speed of convergence.
Eje: Workshop Agentes y sistemas inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23600
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23600
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A hybrid metaheuristic based on differential evolution and local search with quadratic interpolationTardivo, María LauraCagnina, LeticiaLeguizamón, GuillermoCiencias InformáticasIntelligent agentsOptimizationHeuristic methodsDifferential EvolutionLocal SearchQuadratic InterpolationThe use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formula for determining the neighborhood in which to explore towards better solutions. We present DE+LS(1) in which the closer neighborhood to the best population individual is explored, and DE+LS(2) in which the neigh- borhood of the two best population individuals is examined. The results showed that with DE+LS(2) improvements are not signi cant, but using DE+LS(1) an improvement is achieved, especially for large dimensions, in terms of solutions quality and speed of convergence.Eje: Workshop Agentes y sistemas inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23600enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:31Zoai:sedici.unlp.edu.ar:10915/23600Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:31.655SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
spellingShingle A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
Tardivo, María Laura
Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
title_short A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_full A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_fullStr A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_full_unstemmed A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
title_sort A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
dc.creator.none.fl_str_mv Tardivo, María Laura
Cagnina, Leticia
Leguizamón, Guillermo
author Tardivo, María Laura
author_facet Tardivo, María Laura
Cagnina, Leticia
Leguizamón, Guillermo
author_role author
author2 Cagnina, Leticia
Leguizamón, Guillermo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
topic Ciencias Informáticas
Intelligent agents
Optimization
Heuristic methods
Differential Evolution
Local Search
Quadratic Interpolation
dc.description.none.fl_txt_mv The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formula for determining the neighborhood in which to explore towards better solutions. We present DE+LS(1) in which the closer neighborhood to the best population individual is explored, and DE+LS(2) in which the neigh- borhood of the two best population individuals is examined. The results showed that with DE+LS(2) improvements are not signi cant, but using DE+LS(1) an improvement is achieved, especially for large dimensions, in terms of solutions quality and speed of convergence.
Eje: Workshop Agentes y sistemas inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
description The use of Local Search technique in combination with other methods is often an effective way for increasing the e ciency of a global optimization algorithm. In this paper we present an hybrid version that integrates Di erential Evolution with Local Search, applying the Quadratic Interpolation formula for determining the neighborhood in which to explore towards better solutions. We present DE+LS(1) in which the closer neighborhood to the best population individual is explored, and DE+LS(2) in which the neigh- borhood of the two best population individuals is examined. The results showed that with DE+LS(2) improvements are not signi cant, but using DE+LS(1) an improvement is achieved, especially for large dimensions, in terms of solutions quality and speed of convergence.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23600
url http://sedici.unlp.edu.ar/handle/10915/23600
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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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