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Particle swarm optimization with fractional-order velocity

2010-01-08Journal article Open access
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datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorMachado, J. A. Tenreiro
dc.contributor.authorOliveira, P. B. de Moura
dc.contributor.authorCunha, J. Boaventura
dc.contributor.authorMendes, Luís
dc.date.accessioned2025-11-12T14:46:02Z
dc.date.available2025-11-12T14:46:02Z
dc.date.issued2010-01-08
dc.description.abstractThis paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several wellknown functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorithm and to control its convergence.eng
dc.identifier.citationSolteiro Pires, E.J., Tenreiro Machado, J.A., de Moura Oliveira, P.B. et al. Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61, 295–301 (2010). https://doi.org/10.1007/s11071-009-9649-y.
dc.identifier.doi10.1007/s11071-009-9649-y
dc.identifier.eissn1573-269X
dc.identifier.issn0924-090X
dc.identifier.urihttp://hdl.handle.net/10400.8/14595
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s11071-009-9649-y
dc.relation.ispartofNonlinear Dynamics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectParticle swarm optimization
dc.subjectFractional calculus
dc.titleParticle swarm optimization with fractional-order velocityeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage301
oaire.citation.startPage295
oaire.citation.titleNonlinear Dynamics
oaire.citation.volume61
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMoreira Mendes
person.familyNameMoreira Mendes
person.givenNameLuís Miguel
person.givenNameLuís Miguel
person.identifier.ciencia-id0A11-CBD0-48A2
person.identifier.ciencia-id0A11-CBD0-48A2
relation.isAuthorOfPublication6651dc04-a958-4198-a5fa-a5b665e08656
relation.isAuthorOfPublication6651dc04-a958-4198-a5fa-a5b665e08656
relation.isAuthorOfPublication.latestForDiscovery6651dc04-a958-4198-a5fa-a5b665e08656

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This paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several wellknown functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorithm and to control its convergence.
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