Study on velocity clamping in PSO using CEC`13 benchmark

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

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