Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map

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

dc.title	Extensive study on the performance of PSO algorithm enhanced with burgers chaotic map	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	MENDEL 2013
dc.identifier.issn	1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-80-214-4755-4
dc.date.issued	2013
dc.citation.spage	161
dc.citation.epage	166
dc.event.title	19th International Conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Fractals, Bayesian Methods, MENDEL 2013
dc.event.location	Brno
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2013-06-26
dc.event.edate	2013-06-28
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Brno University of Technology
dc.subject	Burgers map	en
dc.subject	Chaos	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 chaotic Burgers map based chaos pseudo-random number generator to enhance the performance of PSO algorithm. The performance is tested on a set of six test functions representing both unimodal and multimodal as well as both static and shifted optimization problems. Promising results are presented and analyzed.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1004670
utb.identifier.obdid	43870634
utb.identifier.scopus	2-s2.0-84905728234
utb.source	d-scopus
dc.date.accessioned	2015-06-04T12:54:48Z
dc.date.available	2015-06-04T12:54:48Z
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Zelinka, Ivan