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Multiple choice strategy based PSO algorithm with chaotic decision making – A preliminary study

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dc.title Multiple choice strategy based PSO algorithm with chaotic decision making – A preliminary study en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319018539
dc.date.issued 2014
utb.relation.volume 239
dc.citation.spage 21
dc.citation.epage 30
dc.event.title International Joint Conference on 8th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2013, 6th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2013 and 4th International Conference on European Transnational Education, ICEUTE 2013
dc.event.location Salamanca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2013-09-11
dc.event.edate 2013-09-13
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-01854-6_3
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-01854-6_3
dc.subject Chaos en
dc.subject Optimization en
dc.subject PSO en
dc.subject Swarm en
dc.description.abstract In this paper, it is proposed the utilization of chaotic pseudo random number generators based on six selected discrete chaotic maps to enhance the performance of newly proposed multiple choice strategy based PSO algorithm. This research represents a continuation of previous successful experiments with the fusion of the PSO algorithm and chaotic systems. The performance of proposed algorithm is tested on a set of four test functions. Obtained promising results are presented, discussed and compared against the basic PSO strategy with inertia weight. © Springer International Publishing Switzerland 2014. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004573
utb.identifier.obdid 43870632
utb.identifier.scopus 2-s2.0-84927591001
utb.source d-scopus
dc.date.accessioned 2015-05-28T11:39:24Z
dc.date.available 2015-05-28T11:39:24Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Zelinka, Ivan
utb.fulltext.affiliation Michal Pluhacek, Roman Senkerik, and Ivan Zelinka Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik,zelinka}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic-GACR P103/13/08195S, by the project Development of human resources in research and development of latest soft computing methods and their application in practice, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Program Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic; 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.
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