Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679

Detalhes bibliográficos
Autor(a) principal: Santos, Ricardo Paupitz Barbosa dos
Data de Publicação: 2011
Outros Autores: Martins, Carlos Humberto, Santos, Fábio Lúcio
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679
Resumo: Real ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a new algorithm that can be understood as a simplified version of the well known Particle Swarm Optimization (PSO). The proposed algorithm allows saving some computational effort and obtains a considerable performance in the optimization of nonlinear functions. We employed four nonlinear benchmark functions, Sphere, Schwefel, Schaffer and Ackley functions, to test and validate the new proposal. Some simulated results were used in order to clarify the efficiency of the proposed algorithm.
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spelling Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679Optimizationswarm intelligenceglobal minimumalgorithmOptimizationswarm intelligenceglobal minimumalgorithmAnálise de Algoritmos e Complexidade de ComputaçãoReal ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a new algorithm that can be understood as a simplified version of the well known Particle Swarm Optimization (PSO). The proposed algorithm allows saving some computational effort and obtains a considerable performance in the optimization of nonlinear functions. We employed four nonlinear benchmark functions, Sphere, Schwefel, Schaffer and Ackley functions, to test and validate the new proposal. Some simulated results were used in order to clarify the efficiency of the proposed algorithm.Universidade Estadual De Maringá2011-07-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionSimulação computacionalapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/967910.4025/actascitechnol.v34i1.9679Acta Scientiarum. Technology; Vol 34 No 1 (2012); 21-25Acta Scientiarum. Technology; v. 34 n. 1 (2012); 21-251806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMengporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679/9679http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679/9679aSantos, Ricardo Paupitz Barbosa dosMartins, Carlos HumbertoSantos, Fábio Lúcioinfo:eu-repo/semantics/openAccess2024-05-17T13:03:15Zoai:periodicos.uem.br/ojs:article/9679Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2024-05-17T13:03:15Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
title Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
spellingShingle Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
Santos, Ricardo Paupitz Barbosa dos
Optimization
swarm intelligence
global minimum
algorithm
Optimization
swarm intelligence
global minimum
algorithm
Análise de Algoritmos e Complexidade de Computação
title_short Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
title_full Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
title_fullStr Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
title_full_unstemmed Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
title_sort Simplified particle swarm optimization algorithm - doi: 10.4025/actascitechnol.v34i1.9679
author Santos, Ricardo Paupitz Barbosa dos
author_facet Santos, Ricardo Paupitz Barbosa dos
Martins, Carlos Humberto
Santos, Fábio Lúcio
author_role author
author2 Martins, Carlos Humberto
Santos, Fábio Lúcio
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Ricardo Paupitz Barbosa dos
Martins, Carlos Humberto
Santos, Fábio Lúcio
dc.subject.por.fl_str_mv Optimization
swarm intelligence
global minimum
algorithm
Optimization
swarm intelligence
global minimum
algorithm
Análise de Algoritmos e Complexidade de Computação
topic Optimization
swarm intelligence
global minimum
algorithm
Optimization
swarm intelligence
global minimum
algorithm
Análise de Algoritmos e Complexidade de Computação
description Real ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a new algorithm that can be understood as a simplified version of the well known Particle Swarm Optimization (PSO). The proposed algorithm allows saving some computational effort and obtains a considerable performance in the optimization of nonlinear functions. We employed four nonlinear benchmark functions, Sphere, Schwefel, Schaffer and Ackley functions, to test and validate the new proposal. Some simulated results were used in order to clarify the efficiency of the proposed algorithm.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Simulação computacional
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679
10.4025/actascitechnol.v34i1.9679
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679
identifier_str_mv 10.4025/actascitechnol.v34i1.9679
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679/9679
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679/9679a
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 34 No 1 (2012); 21-25
Acta Scientiarum. Technology; v. 34 n. 1 (2012); 21-25
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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