Global numerical optimization with a bi-population particle swarm optimizer

This paper presents an enhanced Particle Swarm Optimizer approach, which is designed to solve numerical unconstrained optimization problems. The approach incorporates a dual population in an attempt to overcome the problem of premature convergence to local optima. The proposed algorithm is validated...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Esquivel, Susana Cecilia, Cagnina, Leticia
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Informática
Optimization
funciones sin restricciones
ARTIFICIAL INTELLIGENCE
particle swarm optimizer
unconstrained functions
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23180
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23180
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Informática
Optimization
funciones sin restricciones
ARTIFICIAL INTELLIGENCE
particle swarm optimizer
unconstrained functions
spellingShingle Ciencias Informáticas
Informática
Optimization
funciones sin restricciones
ARTIFICIAL INTELLIGENCE
particle swarm optimizer
unconstrained functions
Esquivel, Susana Cecilia
Cagnina, Leticia
Global numerical optimization with a bi-population particle swarm optimizer
topic_facet Ciencias Informáticas
Informática
Optimization
funciones sin restricciones
ARTIFICIAL INTELLIGENCE
particle swarm optimizer
unconstrained functions
description This paper presents an enhanced Particle Swarm Optimizer approach, which is designed to solve numerical unconstrained optimization problems. The approach incorporates a dual population in an attempt to overcome the problem of premature convergence to local optima. The proposed algorithm is validated using standard test functions (unimodal, multi-modal, separable and nonseparable) taken from the specialized literature. The results are compared with values obtained by an algorithm representative of the state-of-the-art in the area. Our preliminary results indicate that our proposed approach is a competitive alternative to solve global optimization problems.
format Objeto de conferencia
Objeto de conferencia
author Esquivel, Susana Cecilia
Cagnina, Leticia
author_facet Esquivel, Susana Cecilia
Cagnina, Leticia
author_sort Esquivel, Susana Cecilia
title Global numerical optimization with a bi-population particle swarm optimizer
title_short Global numerical optimization with a bi-population particle swarm optimizer
title_full Global numerical optimization with a bi-population particle swarm optimizer
title_fullStr Global numerical optimization with a bi-population particle swarm optimizer
title_full_unstemmed Global numerical optimization with a bi-population particle swarm optimizer
title_sort global numerical optimization with a bi-population particle swarm optimizer
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/23180
work_keys_str_mv AT esquivelsusanacecilia globalnumericaloptimizationwithabipopulationparticleswarmoptimizer
AT cagninaleticia globalnumericaloptimizationwithabipopulationparticleswarmoptimizer
bdutipo_str Repositorios
_version_ 1764820465763745792

Ejemplares similares