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Fractional Particle Swarm Optimization

dc.contributor.authorPires, E. J. Solteiro
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorOliveira, P. B. de Moura
dc.date.accessioned2019-04-16T13:59:47Z
dc.date.available2019-04-16T13:59:47Z
dc.date.issued2010-10
dc.description.abstractThe paper addresses new perspective of the PSO including a fractional block. The local gain is replaced by one of fractional order considering several previous positions of the PSO particles. The algorithm is evaluated for several well known test functions and the relationship between the fractional order and the convergence of the algorithm is observed. The fractional order influences directly the algorithm convergence rate demonstrating a large potencial for developments.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13605
dc.language.isoengpt_PT
dc.subjectFractional Calculuspt_PT
dc.subjectParticle Swarm Optimizationpt_PT
dc.titleFractional Particle Swarm Optimizationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, Portugalpt_PT
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMME'2010pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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