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Study on velocity clamping in PSO using CEC`13 benchmark

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dc.title Study on velocity clamping in PSO using CEC`13 benchmark en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof Proceedings - European Council for Modelling and Simulation, ECMS
dc.identifier.issn 2522-2414 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-9932440-6-3
dc.date.issued 2018
dc.citation.spage 150
dc.citation.epage 155
dc.event.title 32nd Annual Conference of the European Conference on Modelling and Simulation, ECMS 2018
dc.event.location Wilhelmshaven
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2018-05-22
dc.event.edate 2018-05-25
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2018-0150
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0150.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0150_is_ecms2018_0865.pdf
dc.subject Particle Swarm Optimization en
dc.subject PSO en
dc.subject velocity clamping en
dc.subject optimization en
dc.description.abstract In this paper, we perform a new study of the importance of using clamping of the velocity of particles in the Particle Swarm Optimization algorithm. The velocity clamping is used to prevent the particles from rapid acceleration. We present results of testing different settings of maximal velocity on the extensive CEC'13 benchmark set and discuss the results, alongside the overall importance of the velocity clamping method. © ECMS Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008576
utb.identifier.scopus 2-s2.0-85062823677
utb.identifier.wok 000656119000022
utb.source d-scopus
dc.date.accessioned 2019-07-08T11:59:56Z
dc.date.available 2019-07-08T11:59:56Z
dc.description.sponsorship Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [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/2018/003]; COST (European Cooperation in Science Technology) [CA15140, IC1406]; A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Kadavý, Tomáš
utb.fulltext.affiliation Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy Tomas Bata University in Zlin , Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {pluhacek, senkerik, aviktorin, kadavy}@fai.utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Pluhacek, Michal; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, Nam TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, Zlin, 760 01, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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