On the behavior and performance of chaos driven PSO algorithm with inertia weight

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dc.contributor.authorPluháček, Michal
dc.contributor.authorŠenkeřík, Roman
dc.contributor.authorDavendra, Donald David
dc.contributor.authorKomínková Oplatková, Zuzana
dc.contributor.authorZelinka, Ivan
dc.date.accessioned2013-08-26T10:31:21Z
dc.date.available2013-08-26T10:31:21Z
dc.date.issued2013
dc.description.abstractIn this paper, the utilization of chaos pseudorandom number generators based on three different chaotic maps to alter the behavior and overall performance of PSO algorithm is proposed. This paper presents results of testing the performance and behavior of the proposed algorithm on typical benchmark functions that represent unimodal and multimodal problems. The promising results are analyzed and discussed.cs
dc.description.firstpage122cs
dc.description.issue2cs
dc.description.lastpage134cs
dc.description.sourceWeb of Sciencecs
dc.description.volume66cs
dc.identifier.citationComputers & Mathematics with Applications. 2013, vol. 66, issue 2, p. 122-134.cs
dc.identifier.doi10.1016/j.camwa.2013.01.016
dc.identifier.issn0898-1221
dc.identifier.urihttp://hdl.handle.net/10084/100650
dc.identifier.wos000321941300004
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesComputers & Mathematics with Applicationscs
dc.relation.urihttp://dx.doi.org/10.1016/j.camwa.2013.01.016cs
dc.subjectevolutionary algorithmscs
dc.subjectparticle swarmcs
dc.subjectoptimizationcs
dc.subjectswarm intelligencecs
dc.subjectchaoscs
dc.titleOn the behavior and performance of chaos driven PSO algorithm with inertia weightcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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