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Chaos driven PSO with attractive search space border points

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dc.title Chaos driven PSO with attractive search space border points en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
dc.identifier.isbn 9781509060177
dc.date.issued 2018
dc.citation.spage 1147
dc.citation.epage 1152
dc.event.title 2018 IEEE Congress on Evolutionary Computation, CEC 2018
dc.event.location Rio de Janeiro
utb.event.state-en Brazil
utb.event.state-cs Brazílie
dc.event.sdate 2018-07-08
dc.event.edate 2018-07-13
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/CEC.2018.8477960
dc.relation.uri https://ieeexplore.ieee.org/document/8477960
dc.subject Particle Swarm Optimization en
dc.subject PSO en
dc.subject Chaos en
dc.subject Diversity en
dc.subject Border points en
dc.description.abstract In this paper, a chaotic pseudorandom generator is used to enhance the performance of Particle Swarm Optimization with attractive search space borders. The original modification was proposed to prolong the exploration phase and improve the ability of the swarm to avoid local minima. The particles are randomly attracted towards the border points of the search space in each dimension. The well-known and frequently used CEC'13 Benchmark function set is used to test the performance of the proposed method and compare it to canonical PSO. © 2018 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008353
utb.identifier.obdid 43878972
utb.identifier.scopus 2-s2.0-85056286553
utb.identifier.wok 000451175500147
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:47Z
dc.date.available 2019-01-03T12:31:47Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2018/003]; COST (European Cooperation in Science Technology) [Action CA15140, Action IC1406]; A.I. Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Kadavý, Tomáš
utb.wos.affiliation [Pluhacek, Michal; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Zelinka, Ivan] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava 70833, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, Zlin, 760 01, Czech Republic; Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic
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