Particle swarm optimization algorithm driven by multichaotic number generator

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

dc.title	Particle swarm optimization algorithm driven by multichaotic number generator	en
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Zelinka, Ivan
dc.relation.ispartof	Soft Computing
dc.identifier.issn	1433-7479 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn	1432-7643 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2014
utb.relation.volume	18
utb.relation.issue	4
dc.citation.spage	631
dc.citation.epage	639
dc.type	article
dc.language.iso	en
dc.publisher	Springer-Verlag
dc.identifier.doi	10.1007/s00500-014-1222-z
dc.relation.uri	https://link.springer.com/article/10.1007/s00500-014-1222-z
dc.subject	Chaos	en
dc.subject	Evolutionary algorithms	en
dc.subject	Optimization	en
dc.subject	Particle swarm	en
dc.subject	Swarm intelligence	en
dc.description.abstract	In this paper, the utilization of different chaotic systems as pseudo-random number generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos-based PRNGs are used alternately within one run of the PSO algorithm and dynamically switched over when a certain criterion is met. By using this unique technique, it is possible to improve the performance of PSO algorithm as it is demonstrated on different benchmark functions. © 2014 Springer-Verlag Berlin Heidelberg.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1003719
utb.identifier.obdid	43871682
utb.identifier.scopus	2-s2.0-84897581363
utb.identifier.wok	000333030800003
utb.source	j-scopus
dc.date.accessioned	2014-05-07T13:49:24Z
dc.date.available	2014-05-07T13:49:24Z
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.fulltext.affiliation	Michal Pluhacek · Roman Senkerik · Ivan Zelinka M. Pluhacek (B) · R. Senkerik Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic ;e-mail: [email protected] I. Zelinka Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ; e-mail: [email protected]
utb.fulltext.dates	Published online: 13 February 2014
utb.fulltext.sponsorship	This work was supported by the Grant Agency of the Czech Republic-GACR P103/13/08195S, by the Development of human resources in research and development of latest soft computing methods and their application in practice project, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic, partially supported by Grant of SGS No. SP2013/114, VB-Technical University of Ostrava.; by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089; and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012.
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.ou	-