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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/158694
Ver los metadatos del registro completo
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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/ |
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.069144 |