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Chaos particle swarm optimization with Eensemble of chaotic systems

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dc.title Chaos particle swarm optimization with Eensemble of chaotic systems en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Davendra, Donald David
dc.relation.ispartof Swarm and Evolutionary Computation
dc.identifier.issn 2210-6502 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 25
dc.citation.spage 29
dc.citation.epage 35
dc.type article
dc.language.iso en
dc.publisher Elsevier
dc.identifier.doi 10.1016/j.swevo.2015.10.008
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S2210650215000838
dc.subject Chaos en
dc.subject Ensemble learning en
dc.subject Optimization en
dc.subject Particle swarm en
dc.subject PSO en
dc.description.abstract In this study the Chaotic Particle Swarm Optimization (CPSO) algorithm with six simultaneously used chaotic pseudo-random number generators (CPRNG) is investigated. The implementation of chaotic sequences is detailed and discussed. The Ensemble learning approach is used for assigning CPRNGs to particles. The results of proposed algorithm on IEEE CEC′13 Real-Parameter Single Objective Optimization benchmark set are presented and compared with the SPSO-2011. © 2015 Elsevier B.V. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005786
utb.identifier.obdid 43874039
utb.identifier.scopus 2-s2.0-84952631438
utb.identifier.wok 000367860600004
utb.source j-scopus
dc.date.accessioned 2016-04-12T11:51:56Z
dc.date.available 2016-04-12T11:51:56Z
dc.description.sponsorship Grant Agency of the Czech Republic - GACR [P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within National Sustainability Programme Project [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; SGS of VSB-Technical University of Ostrava, Czech Republic [SP2015/141]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2015/057]
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek a*, Roman Senkerik a, Donald Davendra b a Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 760 05 Zlin, Czech Republic b VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, 17. listopadu 15, Poruba, 708 33 Ostrava, Czech Republic * Corresponding author. E-mail addresses: pluhacek@fai.utb.cz (M. Pluhacek), senkerik@fai.utb.cz (R. Senkerik), donald.davendra@vsb.cz (D. Davendra).
utb.fulltext.dates Received 31 December 2014 Received in revised form 7 October 2015 Accepted 12 October 2015 Available online 21 October 2015
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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