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Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map

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dc.title Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map en
dc.contributor.author Pluháček, Michal
dc.contributor.author Budíková, Věra
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2194-5365 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-33226-5
dc.identifier.isbn 978-3-642-33227-2
dc.date.issued 2013
utb.relation.volume 192
dc.citation.spage 167
dc.citation.epage 177
dc.event.title Nostradamus Conference
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-09
dc.event.edate 2012-09
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin en
dc.identifier.doi 10.1007/978-3-642-33227-2_19
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-33227-2_19
dc.description.abstract In this paper, it is proposed the utilization of discrete Lozi map based chaos random number generator to enhance the performance of PSO algorithm with inertia weight. Performance tests and results are presented. Results are analyzed and compared with another evolutionary algorithm Tuning experiment was performed. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003140
utb.identifier.obdid 43868914
utb.identifier.scopus 2-s2.0-84874595907
utb.identifier.wok 000313767300019
utb.source d-wok
dc.date.accessioned 2013-02-24T06:52:25Z
dc.date.available 2013-02-24T06:52:25Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Budíková, Věra
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Oplatková, Zuzana
utb.contributor.internalauthor Zelinka, Ivan
utb.fulltext.affiliation Michal Pluhacek, Vera Budikova, Roman Senkerik, Zuzana Oplatkova, and Ivan Zelinka Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,budikova,senkerik,oplatkova,zelinka}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2012/042 and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2012/037.
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