Tuning the Lozi map in chaos driven PSO inspired by the multi-chaotic approach

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan; Davendra, Donald David

dc.title	Tuning the Lozi map in chaos driven PSO inspired by the multi-chaotic approach	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	978-3-319-07400-9
dc.date.issued	2014
utb.relation.volume	289
dc.citation.spage	79
dc.citation.epage	88
dc.event.title	International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
dc.event.location	Ostrava
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2012-06-23
dc.event.edate	2012-06-25
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer-Verlag
dc.identifier.doi	10.1007/978-3-319-07401-6_8
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_8
dc.subject	Chaos	en
dc.subject	Evolutionary algorithm	en
dc.subject	Lozi map	en
dc.subject	Particle swarm optimization	en
dc.subject	PSO	en
dc.description.abstract	In this paper a previous successful research on chaos enhanced particle swarm optimization algorithm (PSO) is expanded. The possibility of adaptive change of control parameters of chaotic systems that is used as a pseudo- random number generator for the velocity calculation in PSO algorithm is investigated. To evaluate the performance of newly designed algorithm the CEC´ 13 benchmark set was used. © Springer International Publishing Switzerland 2014	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1004565
utb.identifier.obdid	43871686
utb.identifier.scopus	2-s2.0-84927672881
utb.source	d-scopus
dc.date.accessioned	2015-05-28T11:39:22Z
dc.date.available	2015-05-28T11:39:22Z
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.fulltext.affiliation	Michal Pluhacek1, Roman Senkerik1, Ivan Zelinka2, and Donald Davendra2 1 Faculty of Applied Informatics Tomas Bata University in Zlin T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik}@fai.utb.cz 2 Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic {ivan.zelinka,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, Grant of SGS No. SP2014/159 and SP2014/170, VŠB - Technical University of Ostrava, Czech Republic, by the Development of human resources in research and development of latest soft computing methods and theirapplication 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, 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/2014/010.