Multi-chaotic approach for particle acceleration in PSO

Pluháček, Michal; Šenkeřík, Roman; Viktorin, Adam; Zelinka, Ivan

dc.title	Multi-chaotic approach for particle acceleration in PSO	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.relation.ispartof	Hybrid Metaheuristics (HM 2016)
dc.identifier.issn	0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-39635-4
dc.identifier.isbn	978-3-319-39636-1
dc.date.issued	2016
utb.relation.volume	9668
dc.citation.spage	75
dc.citation.epage	86
dc.event.title	10th International Workshop on Hybrid Metaheuristics, HM 2016
dc.event.location	Plymouth
utb.event.state-en	England
utb.event.state-cs	Anglie
dc.event.sdate	2016-06-08
dc.event.edate	2016-06-10
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-39636-1_6
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-39636-1_6
dc.subject	Acceleration constant	en
dc.subject	Chaos	en
dc.subject	Particle swarm optimization	en
dc.subject	PSO	en
dc.description.abstract	This paper deals with novel approach for hybridization of two scientific techniques: the evolutionary computational techniques and deterministic chaos. The Particle Swarm Optimization algorithm is enhanced with two pseudo-random number generators based on chaotic systems. The chaotic pseudo-random number generators (CPRNGs) are used to guide the particles movement through multiplying the accelerating constants. Different CPRNGs are used simultaneously in order to improve the performance of the algorithm. The IEEE CEC’13 benchmark suite is used to test the performance of the proposed method. © Springer International Publishing Switzerland 2016.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006550
utb.identifier.obdid	43876183
utb.identifier.scopus	2-s2.0-84976634811
utb.identifier.wok	000379305500006
utb.source	d-scopus
dc.date.accessioned	2016-08-09T14:02:57Z
dc.date.available	2016-08-09T14:02:57Z
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,aviktorin}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz
utb.fulltext.dates	-
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics