A particle swarm optimizer for multi-objective optimization
- Autores
- Cagnina, Leticia; 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.
Facultad de Informática - Materia
-
Ciencias Informáticas
Optimization
pareto optimality - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9594
Ver los metadatos del registro completo
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A particle swarm optimizer for multi-objective optimizationCagnina, LeticiaEsquivel, Susana CeciliaCoello Coello, CarlosCiencias InformáticasOptimizationpareto optimalityThis 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.Facultad de Informática2005-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf204-210http://sedici.unlp.edu.ar/handle/10915/9594enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-7.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:UNLP2025-10-29T14:56:28Zoai:sedici.unlp.edu.ar:10915/9594Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-29 14:56:28.98SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| 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 Ciencias Informáticas 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 Esquivel, Susana Cecilia Coello Coello, Carlos |
| author |
Cagnina, Leticia |
| author_facet |
Cagnina, Leticia 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 |
Ciencias Informáticas Optimization pareto optimality |
| topic |
Ciencias Informáticas Optimization pareto optimality |
| 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. Facultad de Informática |
| 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 |
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2005-12 |
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eng |
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eng |
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