A particle swarm optimizer for multi-objective optimization

Autores
Cagnina, Leticia Cecilia; Esquivel, Susana Cecilia; Coello Coello, Carlos
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is used as a geographical location over objective function space. In order to validate our approach we use three well-known test functions proposed in the specialized literature. Preliminary simulations results are presented and compared with those obtained with the Pareto Archived Evolution Strategy (PAES) and the Multi-Objective Genetic Algorithm 2 (MOGA2). These results also show that the SMOPSO algorithm is a promising alternative to tackle multiobjective optimization problems.
Fil: Cagnina, Leticia Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Esquivel, Susana Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Coello Coello, Carlos. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; México
Materia
PARTICLE SWARM OPTIMIZATION
MULTI-OBJECTIVE OPTIMIZATION
PARETO OPTIMALITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/158694
Acceder
id CONICETDig_65b73279c79ebdda716608fc501b2586
oai_identifier_str oai:ri.conicet.gov.ar:11336/158694
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A particle swarm optimizer for multi-objective optimizationCagnina, Leticia CeciliaEsquivel, Susana CeciliaCoello Coello, CarlosPARTICLE SWARM OPTIMIZATIONMULTI-OBJECTIVE OPTIMIZATIONPARETO OPTIMALITYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is used as a geographical location over objective function space. In order to validate our approach we use three well-known test functions proposed in the specialized literature. Preliminary simulations results are presented and compared with those obtained with the Pareto Archived Evolution Strategy (PAES) and the Multi-Objective Genetic Algorithm 2 (MOGA2). These results also show that the SMOPSO algorithm is a promising alternative to tackle multiobjective optimization problems.Fil: Cagnina, Leticia Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Esquivel, Susana Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Coello Coello, Carlos. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; MéxicoUniversidad Nacional de La Plata. Facultad de Informática2005-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158694Cagnina, Leticia Cecilia; Esquivel, Susana Cecilia; Coello Coello, Carlos; A particle swarm optimizer for multi-objective optimization; Universidad Nacional de La Plata. Facultad de Informática; Journal of Computer Science and Technology; 5; 4; 12-2005; 204-2101666-6038CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journal.info.unlp.edu.ar/JCST/article/view/837info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:12Zoai:ri.conicet.gov.ar:11336/158694instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:28:13.152CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A particle swarm optimizer for multi-objective optimization
title A particle swarm optimizer for multi-objective optimization
spellingShingle A particle swarm optimizer for multi-objective optimization
Cagnina, Leticia Cecilia
PARTICLE SWARM OPTIMIZATION
MULTI-OBJECTIVE OPTIMIZATION
PARETO OPTIMALITY
title_short A particle swarm optimizer for multi-objective optimization
title_full A particle swarm optimizer for multi-objective optimization
title_fullStr A particle swarm optimizer for multi-objective optimization
title_full_unstemmed A particle swarm optimizer for multi-objective optimization
title_sort A particle swarm optimizer for multi-objective optimization
dc.creator.none.fl_str_mv Cagnina, Leticia Cecilia
Esquivel, Susana Cecilia
Coello Coello, Carlos
author Cagnina, Leticia Cecilia
author_facet Cagnina, Leticia Cecilia
Esquivel, Susana Cecilia
Coello Coello, Carlos
author_role author
author2 Esquivel, Susana Cecilia
Coello Coello, Carlos
author2_role author
author
dc.subject.none.fl_str_mv PARTICLE SWARM OPTIMIZATION
MULTI-OBJECTIVE OPTIMIZATION
PARETO OPTIMALITY
topic PARTICLE SWARM OPTIMIZATION
MULTI-OBJECTIVE OPTIMIZATION
PARETO OPTIMALITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is used as a geographical location over objective function space. In order to validate our approach we use three well-known test functions proposed in the specialized literature. Preliminary simulations results are presented and compared with those obtained with the Pareto Archived Evolution Strategy (PAES) and the Multi-Objective Genetic Algorithm 2 (MOGA2). These results also show that the SMOPSO algorithm is a promising alternative to tackle multiobjective optimization problems.
Fil: Cagnina, Leticia Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Esquivel, Susana Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Coello Coello, Carlos. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; México
description This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is used as a geographical location over objective function space. In order to validate our approach we use three well-known test functions proposed in the specialized literature. Preliminary simulations results are presented and compared with those obtained with the Pareto Archived Evolution Strategy (PAES) and the Multi-Objective Genetic Algorithm 2 (MOGA2). These results also show that the SMOPSO algorithm is a promising alternative to tackle multiobjective optimization problems.
publishDate 2005
dc.date.none.fl_str_mv 2005-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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://hdl.handle.net/11336/158694
Cagnina, Leticia Cecilia; Esquivel, Susana Cecilia; Coello Coello, Carlos; A particle swarm optimizer for multi-objective optimization; Universidad Nacional de La Plata. Facultad de Informática; Journal of Computer Science and Technology; 5; 4; 12-2005; 204-210
1666-6038
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158694
identifier_str_mv Cagnina, Leticia Cecilia; Esquivel, Susana Cecilia; Coello Coello, Carlos; A particle swarm optimizer for multi-objective optimization; Universidad Nacional de La Plata. Facultad de Informática; Journal of Computer Science and Technology; 5; 4; 12-2005; 204-210
1666-6038
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journal.info.unlp.edu.ar/JCST/article/view/837
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de La Plata. Facultad de Informática
publisher.none.fl_str_mv Universidad Nacional de La Plata. Facultad de Informática
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614285722910720
score 13.069144

Publicaciones similares