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New adaptive approach for chaos PSO algorithm driven alternately by two different chaotic maps - An initial study

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dc.title New adaptive approach for chaos PSO algorithm driven alternately by two different chaotic maps - An initial study en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.contributor.author Davendra, Donald David
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319005416
dc.date.issued 2013
utb.relation.volume 210
dc.citation.spage 77
dc.citation.epage 87
dc.type article
dc.language.iso en
dc.publisher Springer en
dc.identifier.doi 10.1007/978-3-319-00542-3_9
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-00542-3_9
dc.description.abstract In this initial study a novel adaptive approach for chaos driven PSO algorithm is proposed. Two different chaotic maps are used as pseudorandom number generators and switched over during the run of chaos driven PSO algorithm. The new adaptive approach brings promising results that are presented and briefly analyzed. © Springer International Publishing Switzerland 2013. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003429
utb.identifier.obdid 43869942
utb.identifier.scopus 2-s2.0-84880350301
utb.source j-scopus
dc.date.accessioned 2013-08-02T09:10:25Z
dc.date.available 2013-08-02T09:10:25Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Michal Pluhacek, Roman Senkerik, Ivan Zelinka, and Donald Davendra Michal Pluhacek · Roman Senkerik Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: {pluhacek,senkerik,zelinka}@fai.utb.cz Ivan Zelinka · Donald Davendra Department of Computer Science, Faculty of Electrical Engineering and Computer Science VŠB-TUO, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic e-mail: donald.davendra@vsb.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, by the Technology Agency of the Czech Republic under the Project TE01020197, and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012.
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