PSO algorithm enhanced with Lozi Chaotic Map - Tuning experiment

Pluháček, Michal; Šenkeřík, Roman; Zelinka, Ivan

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