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Chaos enhanced repulsive MC-PSO/DE hybrid

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dc.title Chaos enhanced repulsive MC-PSO/DE hybrid en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-39377-3
dc.identifier.isbn 978-3-319-39378-0
dc.date.issued 2016
utb.relation.volume 9692
dc.citation.spage 465
dc.citation.epage 475
dc.event.title 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016
dc.event.location Zakopane
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2016-06-12
dc.event.edate 2016-06-16
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-39378-0_40
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-39378-0_40
dc.subject Chaos en
dc.subject DE en
dc.subject Differential evolution en
dc.subject Hybrid method en
dc.subject Particle swarm optimization en
dc.subject PSO en
dc.description.abstract In this paper a previously proposed method is extended with pseudo-random number generator based on chaotic sequences. Several recent approaches for designing the evolutionary computational techniques are merged in the proposed method. The proposed method represents a hybridization of heterogeneous swarm based PSO and differential evolution extended with the chaotic sequences implementation. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set. © Springer International Publishing Switzerland 2016. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006553
utb.identifier.obdid 43876184
utb.identifier.scopus 2-s2.0-84976609610
utb.identifier.wok 000389514800040
utb.source d-scopus
dc.date.accessioned 2016-08-09T14:02:58Z
dc.date.available 2016-08-09T14:02:58Z
dc.description.sponsorship P103/15/06700S, GACR, Grantová Agentura Ceské Republiky
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.fulltext.affiliation Michal Pluhacek 1, Roman Senkerik 1, Adam Viktorin 1, Ivan Zelinka 2 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava-poruba, Czech Republic [email protected]
utb.fulltext.dates -
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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