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

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dc.title On the behavior and performance of chaos driven PSO algorithm with inertia weight en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Davendra, Donald David
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Computers and Mathematics with Applications
dc.identifier.issn 0898-1221 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 66
utb.relation.issue 2
dc.citation.spage 122
dc.citation.epage 134
dc.type article
dc.language.iso en
dc.publisher Pergamon Elsevier Science Ltd. en
dc.identifier.doi 10.1016/j.camwa.2013.01.016
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0898122113000333
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, 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. © 2013 Elsevier Ltd. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003405
utb.identifier.obdid 43870247
utb.identifier.scopus 2-s2.0-84880206476
utb.identifier.wok 000321941300004
utb.identifier.coden CMAPD
utb.source j-scopus
dc.date.accessioned 2013-07-27T14:55:58Z
dc.date.available 2013-07-27T14:55:58Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Komínková Oplatková, Zuzana
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