On the behavior and performance of chaos driven PSO algorithm with inertia weight

Pluháček, Michal; Šenkeřík, Roman; Davendra, Donald David; Komínková Oplatková, Zuzana; Zelinka, Ivan

dc.title	On the behavior and performance of chaos driven PSO algorithm with inertia weight	en
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Davendra, Donald David
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Zelinka, Ivan
dc.relation.ispartof	Computers and Mathematics with Applications
dc.identifier.issn	0898-1221 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2013
utb.relation.volume	66
utb.relation.issue	2
dc.citation.spage	122
dc.citation.epage	134
dc.type	article
dc.language.iso	en
dc.publisher	Pergamon Elsevier Science Ltd.	en
dc.identifier.doi	10.1016/j.camwa.2013.01.016
dc.relation.uri	https://www.sciencedirect.com/science/article/pii/S0898122113000333
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, the utilization of chaos pseudorandom number generators based on three different chaotic maps to alter the behavior and overall performance of PSO algorithm is proposed. This paper presents results of testing the performance and behavior of the proposed algorithm on typical benchmark functions that represent unimodal and multimodal problems. The promising results are analyzed and discussed. © 2013 Elsevier Ltd. All rights reserved.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1003405
utb.identifier.obdid	43870247
utb.identifier.scopus	2-s2.0-84880206476
utb.identifier.wok	000321941300004
utb.identifier.coden	CMAPD
utb.source	j-scopus
dc.date.accessioned	2013-07-27T14:55:58Z
dc.date.available	2013-07-27T14:55:58Z
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.fulltext.affiliation	Michal Pluhacek a* , Roman Senkerik a , Donald Davendra b , Zuzana Kominkova Oplatkova a , Ivan Zelinka b a Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic b VŠB – Technical University of Ostrava, Department of Computer Science, Faculty of Electrical Engineering and Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic *Corresponding author. Tel.: +420 576032830. E-mail addresses: pluhacek@fai.utb.cz (M. Pluhacek), senkerik@fai.utb.cz (R. Senkerik), donald.davendra@vsb.cz (D. Davendra), oplatkova@fai.utb.cz (Z. Kominkova Oplatkova), ivan.zelinka@vsb.cz (I. Zelinka).
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Grant Agency of the Czech Republic—GACR 13-08195S, by the development of human resources in research and development of latest soft computing methods and their application 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, 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/2012/037.
utb.fulltext.projects	GACR 13-08195S
utb.fulltext.projects	CZ.1.07/2.3.00/20.0072
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089
utb.fulltext.projects	IGA/FAI/2012/037
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.ou	-