Hybrid Particle Swarm Optimiser using multi-neighborhood topologies
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204 |
Resumo: | Hybrid Particle Swarm Optimization (PSO) algorithm that combines the idea of global best model with the idea of local best model is presented in this paper. The hybrid PSO mixes the use of the traditional velocity and position update rules of star, ring and Von Neumann topologies all together. The objective of building PSO on multi-models is that, to find a better solution without trapping in local minimums models, and to achieve faster convergence rate. This paper describes how the hybrid model will get the benefit of the strength of gbest and lbest models. It investigates when it would be better for the particle to update its velocity using star or ring or Von Neumann topologies. The performance of proposed method is compared to other standard models of PSO using variant set of benchmark functions to investigate the improvement. |
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INFOCOMP: Jornal de Ciência da Computação |
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Hybrid Particle Swarm Optimiser using multi-neighborhood topologiesPSOhybrid PSOglobal bestlocal bestNeighborhood TopologiesStarRingVon Neu- mannHybrid Particle Swarm Optimization (PSO) algorithm that combines the idea of global best model with the idea of local best model is presented in this paper. The hybrid PSO mixes the use of the traditional velocity and position update rules of star, ring and Von Neumann topologies all together. The objective of building PSO on multi-models is that, to find a better solution without trapping in local minimums models, and to achieve faster convergence rate. This paper describes how the hybrid model will get the benefit of the strength of gbest and lbest models. It investigates when it would be better for the particle to update its velocity using star or ring or Von Neumann topologies. The performance of proposed method is compared to other standard models of PSO using variant set of benchmark functions to investigate the improvement.Editora da UFLA2008-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204INFOCOMP Journal of Computer Science; Vol. 7 No. 1 (2008): March, 2008; 36-431982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204/189Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessHamdan, S. A.2015-06-27T23:26:38Zoai:infocomp.dcc.ufla.br:article/204Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:24.236301INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
title |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
spellingShingle |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies Hamdan, S. A. PSO hybrid PSO global best local best Neighborhood Topologies Star Ring Von Neu- mann |
title_short |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
title_full |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
title_fullStr |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
title_full_unstemmed |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
title_sort |
Hybrid Particle Swarm Optimiser using multi-neighborhood topologies |
author |
Hamdan, S. A. |
author_facet |
Hamdan, S. A. |
author_role |
author |
dc.contributor.author.fl_str_mv |
Hamdan, S. A. |
dc.subject.por.fl_str_mv |
PSO hybrid PSO global best local best Neighborhood Topologies Star Ring Von Neu- mann |
topic |
PSO hybrid PSO global best local best Neighborhood Topologies Star Ring Von Neu- mann |
description |
Hybrid Particle Swarm Optimization (PSO) algorithm that combines the idea of global best model with the idea of local best model is presented in this paper. The hybrid PSO mixes the use of the traditional velocity and position update rules of star, ring and Von Neumann topologies all together. The objective of building PSO on multi-models is that, to find a better solution without trapping in local minimums models, and to achieve faster convergence rate. This paper describes how the hybrid model will get the benefit of the strength of gbest and lbest models. It investigates when it would be better for the particle to update its velocity using star or ring or Von Neumann topologies. The performance of proposed method is compared to other standard models of PSO using variant set of benchmark functions to investigate the improvement. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/204/189 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 7 No. 1 (2008): March, 2008; 36-43 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874740474609664 |