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Multi-chaotic approach for particle acceleration in PSO

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dc.title Multi-chaotic approach for particle acceleration in PSO en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartof Hybrid Metaheuristics (HM 2016)
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-39635-4
dc.identifier.isbn 978-3-319-39636-1
dc.date.issued 2016
utb.relation.volume 9668
dc.citation.spage 75
dc.citation.epage 86
dc.event.title 10th International Workshop on Hybrid Metaheuristics, HM 2016
dc.event.location Plymouth
utb.event.state-en England
utb.event.state-cs Anglie
dc.event.sdate 2016-06-08
dc.event.edate 2016-06-10
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-39636-1_6
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-39636-1_6
dc.subject Acceleration constant en
dc.subject Chaos en
dc.subject Particle swarm optimization en
dc.subject PSO en
dc.description.abstract This paper deals with novel approach for hybridization of two scientific techniques: the evolutionary computational techniques and deterministic chaos. The Particle Swarm Optimization algorithm is enhanced with two pseudo-random number generators based on chaotic systems. The chaotic pseudo-random number generators (CPRNGs) are used to guide the particles movement through multiplying the accelerating constants. Different CPRNGs are used simultaneously in order to improve the performance of the algorithm. The IEEE CEC’13 benchmark suite is used to test the performance of the proposed method. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006550
utb.identifier.obdid 43876183
utb.identifier.scopus 2-s2.0-84976634811
utb.identifier.wok 000379305500006
utb.source d-scopus
dc.date.accessioned 2016-08-09T14:02:57Z
dc.date.available 2016-08-09T14:02:57Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
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