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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 |