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Particle swarm optimization algorithm driven by multichaotic number generator

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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: pluhacek@fai.utb.cz I. Zelinka Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ; e-mail: ivan.zelinka@vsb.cz
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 -
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