Particle swarm optimization algorithm driven by multichaotic number generator

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dc.contributor.authorPluháček, Michal
dc.contributor.authorŠenkeřík, Roman
dc.contributor.authorZelinka, Ivan
dc.date.accessioned2014-05-13T14:25:51Z
dc.date.available2014-05-13T14:25:51Z
dc.date.issued2014
dc.description.abstractIn this paper, the utilization of different chaotic systems as pseudo-random number generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos-based PRNGs are used alternately within one run of the PSO algorithm and dynamically switched over when a certain criterion is met. By using this unique technique, it is possible to improve the performance of PSO algorithm as it is demonstrated on different benchmark functions.cs
dc.description.firstpage631cs
dc.description.issue4cs
dc.description.lastpage639cs
dc.description.sourceWeb of Sciencecs
dc.description.volume18cs
dc.identifier.citationSoft Computing. 2014, vol. 18, no. 4, p. 631-639.cs
dc.identifier.doi10.1007/s00500-014-1222-z
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.urihttp://hdl.handle.net/10084/101792
dc.identifier.wos000333030800003
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesSoft Computingcs
dc.relation.urihttp://dx.doi.org/10.1007/s00500-014-1222-zcs
dc.rights© Springer-Verlag Berlin Heidelberg 2014cs
dc.subjectparticle swarmcs
dc.subjectoptimizationcs
dc.subjectswarm intelligencecs
dc.subjectchaoscs
dc.subjectevolutionary algorithmscs
dc.titleParticle swarm optimization algorithm driven by multichaotic number generatorcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs

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