Comparing selected PSO modifications on CEC 15 benchmark set

Pluháček, Michal; Kadavý, Tomáš; Šenkeřík, Roman; Viktorin, Adam; Zelinka, Ivan

dc.title	Comparing selected PSO modifications on CEC 15 benchmark set	en
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Kadavý, Tomáš
dc.contributor.author	Šenkeřík, Roman
dc.contributor.author	Viktorin, Adam
dc.contributor.author	Zelinka, Ivan
dc.relation.ispartof	2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
dc.identifier.isbn	978-1-5090-4240-1
dc.date.issued	2016
dc.event.title	2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
dc.event.location	Athens
utb.event.state-en	Greece
utb.event.state-cs	Řecko
dc.event.sdate	2016-12-06
dc.event.edate	2016-12-09
dc.type	article
dc.language.iso	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.identifier.doi	10.1109/SSCI.2016.7850279
dc.relation.uri	http://ieeexplore.ieee.org/document/7850279/
dc.subject	Particle swarm optimization	en
dc.subject	PSO	en
dc.subject	ARPSO	en
dc.subject	HPSO	en
dc.subject	OLPSO	en
dc.description.abstract	In this paper we choose to compare three popular modifications of Particle Swarm Optimization (PSO) using the recent CEC'15 benchmark set. Three different approaches for PSO modification are compared: the heterogeneous swarm, diversity-guided swarm and orthogonal learning based approach. The goal is to provide up-to date comparison of the performance of these methods on a state-of-art benchmark set and highlight the differences in performance on different types of fitness functions. The experiments were carried out according to CEC benchmark rules and statistically evaluated. © 2016 IEEE.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1007112
utb.identifier.rivid	RIV/70883521:28140/16:43875455 v dodávce dat RIV17-MSM-28140___/01:1
utb.identifier.obdid	43876204
utb.identifier.scopus	2-s2.0-85015998412
utb.identifier.wok	000400488303051
utb.source	j-wok
dc.date.accessioned	2017-08-01T08:27:12Z
dc.date.available	2017-08-01T08:27:12Z
dc.description.sponsorship	Grant Agency of the Czech Republic - GACR [P103/15/06700S]; Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2016/007]
utb.contributor.internalauthor	Pluháček, Michal
utb.contributor.internalauthor	Kadavý, Tomáš
utb.contributor.internalauthor	Šenkeřík, Roman
utb.contributor.internalauthor	Viktorin, Adam
utb.fulltext.affiliation	Michal Pluhacek, Tomas Kadavy, Roman Senkerik, Adam Viktorin Faculty of Applied Informatics Tomas Bata University in Zlin T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek, kadavy, senkerik, viktorin}@fai.utb.cz Ivan Zelinka Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Grant Agency of the Czech Republic – GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014. Also by the 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/CebiaTech/2016/007.
utb.scopus.affiliation	[Pluhacek, Michal; Kadavy, Tomas; Senkerik, Roman; Viktorin, Adam] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic; [Zelinka, Ivan] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava 70833, Czech Republic