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Chaos-enhanced multiple-choice strategy for particle swarm optimisation

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dc.title Chaos-enhanced multiple-choice strategy for particle swarm optimisation en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof International Journal of Parallel, Emergent and Distributed Systems
dc.identifier.issn 1744-5760 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 35
utb.relation.issue 6
dc.citation.spage 603
dc.citation.epage 616
dc.type article
dc.language.iso en
dc.publisher Taylor and Francis Ltd.
dc.identifier.doi 10.1080/17445760.2018.1487064
dc.relation.uri https://www.tandfonline.com/doi/abs/10.1080/17445760.2018.1487064
dc.subject particle swarm en
dc.subject chaos en
dc.subject PSO en
dc.subject heterogeneous swarm en
dc.subject multiple-choice strategy en
dc.description.abstract In this paper, we use pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimisation (PSO). The multiple-choice strategy is a heterogeneous swarm-based method. We present the results of benchmark testing using the latest CEC’17 benchmark suite. The performance of the proposed method is compared with the canonical PSO and evaluated for statistical significance. Utilising of pseudo-random number generators based on six chaotic systems to enhance the performance of multiple-choice strategy for particle swarm optimization. © 2018 Informa UK Limited, trading as Taylor & Francis Group. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009952
utb.identifier.obdid 43881865
utb.identifier.scopus 2-s2.0-85049124987
utb.identifier.wok 000582244500001
utb.source j-scopus
dc.date.accessioned 2020-10-23T10:40:53Z
dc.date.available 2020-10-23T10:40:53Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republicwithin the National Sustainability Programme Project [LO1303, MSMT-7778/2014]; COST (European Cooperation in Science & Technology) under Action: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) [CA15140]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2018/003]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Kadavý, Tomáš
utb.fulltext.affiliation Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
utb.fulltext.dates Received 30 April 2017 Accepted 6 June 2018
utb.fulltext.sponsorship This work was supported by Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project No. LO1303 [grant number MSMT-7778/2014]; COST (European Cooperation in Science & Technology) under Action: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) [grant number CA15140]; Internal Grant Agency of Tomas Bata University [grant number IGA/CebiaTech/2018/003]; the European Regional Development Fund under the Project CEBIA-Tech [grant number CZ.1.05/2.1.00/03.0089].
utb.wos.affiliation [Pluhacek, Michal; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, Nam TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects ImAppNIO
utb.fulltext.projects CA15140
utb.fulltext.projects IGA/CebiaTech/2018/003
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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