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PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment

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dc.title PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof Proceedings of the International Conference of Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)
dc.identifier.issn 0094-243X Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7354-1287-3
dc.date.issued 2015
utb.relation.volume 1648
dc.event.title International Conference on Numerical Analysis and Applied Mathematics (ICNAAM)
dc.event.location Rhodes
utb.event.state-en Greece
utb.event.state-cs Řecko
dc.event.sdate 2014-09-22
dc.event.edate 2014-09-28
dc.type conferenceObject
dc.language.iso en
dc.publisher American Institute of Physics (AIP)
dc.identifier.doi 10.1063/1.4912777
dc.relation.uri http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4912777
dc.subject PSO en
dc.subject Particle Swarm Optimization en
dc.subject Chaos en
dc.subject Lozi Map en
dc.description.abstract In this paper it is investigated the effect of tuning of control parameters of the Lozi Chaotic Map employed as a chaotic pseudo-random number generator for the particle swarm optimization algorithm. Three different benchmark functions are selected from the IEEE CEC 2013 competition benchmark set. The Lozi map is extensively tuned and the performance of PSO is evaluated. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005218
utb.identifier.obdid 43874652
utb.identifier.scopus 2-s2.0-84939649905
utb.identifier.wok 000355339703053
utb.source d-wok
dc.date.accessioned 2015-07-15T08:42:22Z
dc.date.available 2015-07-15T08:42:22Z
dc.rights.access openAccess
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Zelinka, Ivan
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