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Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map

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dc.title Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.relation.ispartof MENDEL 2013
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788021447554
dc.date.issued 2013
dc.citation.spage 161
dc.citation.epage 166
dc.event.title 19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2013-06-26
dc.event.edate 2013-06-28
dc.type conferenceObject
dc.language.iso en
dc.publisher Brno University of Technology
dc.subject Burgers map en
dc.subject Chaos en
dc.subject Optimization en
dc.subject Particle swarm en
dc.subject Swarm intelligence en
dc.description.abstract In this paper, it is proposed the utilization of discrete chaotic Burgers map based chaos pseudo-random number generator to enhance the performance of PSO algorithm. The performance is tested on a set of six test functions representing both unimodal and multimodal as well as both static and shifted optimization problems. Promising results are presented and analyzed. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004670
utb.identifier.obdid 43870634
utb.identifier.scopus 2-s2.0-84905728234
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:54:48Z
dc.date.available 2015-06-04T12:54:48Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Zelinka, Ivan
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