On the performance of enhanced PSO algorithm with Lozi chaotic map - An initial study

Pluháček, Michal; Budíková, Věra; Šenkeřík, Roman; Oplatková, Zuzana; Zelinka, Ivan

dc.title	On the performance of enhanced PSO algorithm with Lozi chaotic map - An initial study	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	MENDEL 2012
dc.identifier.issn	1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-80-214-4540-6
dc.date.issued	2012
dc.citation.spage	40
dc.citation.epage	45
dc.event.title	18th International Conference on Soft Computing, MENDEL 2012
dc.event.location	Brno
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2012-06-27
dc.event.edate	2012-06-29
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Brno University of Technology
dc.subject	Chaos	en
dc.subject	Evolutionary algorithms	en
dc.subject	Optimization	en
dc.subject	Particle swarm	en
dc.subject	Swarm intelligence	en
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. This paper presents results of testing the performance of proposed algorithm on typical benchmark functions that represents unimodal and multimodal problems.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1004708
utb.identifier.obdid	43868898
utb.identifier.scopus	2-s2.0-84882957087
utb.source	d-scopus
dc.date.accessioned	2015-06-04T12:55:02Z
dc.date.available	2015-06-04T12:55:02Z
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