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Comparing selected PSO modifications on CEC 15 benchmark set

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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 9781509042401
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
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