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Multiple choice strategy for PSO algorithm - Performance analysis on shifted test functions

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dc.title Multiple choice strategy for PSO algorithm - Performance analysis on shifted test functions 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 Proceedings 27th European Conference on Modelling and Simulation ECMS 2013
dc.identifier.isbn 978-0-9564944-6-7
dc.date.issued 2013
dc.citation.spage 393
dc.citation.epage 397
dc.event.title 27th European Conference on Modelling and Simulation, ECMS 2013
dc.event.location Alesund
utb.event.state-en Norway
utb.event.state-cs Norsko
dc.event.sdate 2013-05-27
dc.event.edate 2013-05-30
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS)
dc.identifier.doi 10.7148/2013-0393
dc.relation.uri http://www.scs-europe.net/dlib/2013/2013-0393.htm
dc.relation.uri http://www.scs-europe.net/dlib/2013/ecms13papers/is_ECMS2013_0179.pdf
dc.subject PSO en
dc.subject Optimization en
dc.subject Evolutionary Algorithms en
dc.subject Swarm intelligence en
dc.subject Shifted test functions en
dc.description.abstract A new promising strategy for the PSO (Particle swarm optimization) algorithm is proposed and described in this paper. This new strategy presents alternative way of assigning new velocity to each individual in particle swarm (population). This new multiple choice particle swarm optimization (MC-PSO) algorithm is tested on two different shifted test functions to show the performance on problems that are not constant in time. The promising results of this alternative strategy are compared with the not modified PSO version. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003823
utb.identifier.obdid 43870633
utb.identifier.scopus 2-s2.0-84899026724
utb.identifier.wok 000337114500060
utb.source d-wok
dc.date.accessioned 2014-08-05T09:56:34Z
dc.date.available 2014-08-05T09:56:34Z
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Zelinka, Ivan
utb.fulltext.affiliation 1 Michal Pluhacek, 1 Roman Senkerik, 1 Ivan Zelinka and 2 Donald Davendra 1 Tomas Bata University in Zlin , Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek,senkerik,zelinka}@fai.utb.cz 2 Department of Computer Science, Faculty of Electrical Engineering and Computer Science , VB-TUO, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic donald.davendra@vsb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic—GACR P103/13/08195S, by the project Development of human resources in research and development of latest soft computing methods and their application in practice, 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; by the Technology Agency of the Czech Republic under the Project TE01020197; and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2013/012.
utb.fulltext.projects GACR P103/13/08195S
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 TACR TE01020197
utb.fulltext.projects IGA/FAI/2013/012
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou -
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