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On the performance of enhanced PSO algorithm with Lozi chaotic map - An initial study

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dc.title On the performance of enhanced PSO algorithm with Lozi chaotic map - An initial study en
dc.contributor.author Pluháček, Michal
dc.contributor.author Budíková, Věra
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof MENDEL 2012
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9788021445406
dc.date.issued 2012
dc.citation.spage 40
dc.citation.epage 45
dc.event.title 18th International Conference on Soft Computing, MENDEL 2012
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-06-27
dc.event.edate 2012-06-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Brno University of Technology
dc.subject Chaos en
dc.subject Evolutionary algorithms 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 Lozi map based chaos random number generator to enhance the performance of PSO algorithm. This paper presents results of testing the performance of proposed algorithm on typical benchmark functions that represents unimodal and multimodal problems. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004708
utb.identifier.obdid 43868898
utb.identifier.scopus 2-s2.0-84882957087
utb.source d-scopus
dc.date.accessioned 2015-06-04T12:55:02Z
dc.date.available 2015-06-04T12:55:02Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Budíková, Věra
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Oplatková, Zuzana
utb.contributor.internalauthor Zelinka, Ivan
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