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

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

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	978-3-319-01853-9
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.