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Why simple population restart does not work in PSO

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dc.title Why simple population restart does not work in PSO en
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.contributor.author Kadavý, Tomáš
dc.relation.ispartof 2018 IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
dc.identifier.isbn 978-1-5386-9276-9
dc.date.issued 2018
dc.citation.spage 770
dc.citation.epage 776
dc.event.title 8th IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
dc.event.location Bengaluru
utb.event.state-en India
utb.event.state-cs India
dc.event.sdate 2018-11-18
dc.event.edate 2018-11-21
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE
dc.identifier.doi 10.1109/SSCI.2018.8628801
dc.subject diversity en
dc.subject Particle swarm en
dc.subject population restart en
dc.subject PSO en
dc.description.abstract In this study, we present an in-deep study on the poor ability of Particle Swarm Optimization (PSO) to recover from a premature convergence by simple population restart. Despite that, population restart is a popular component of many adaptive metaheuristic methods it has rarely been successfully utilized in PSO. We describe the methodology for basic population restart and observe the population diversity and performance change after the population is restarted. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008554
utb.identifier.obdid 43880064
utb.identifier.scopus 2-s2.0-85062772273
utb.identifier.wok 000459238800105
utb.source d-wok
dc.date.accessioned 2019-07-08T11:59:54Z
dc.date.available 2019-07-08T11:59:54Z
dc.description.sponsorship project International mobility of UTB researchers in Zlin from the EU Funds - OP Research, Development and Education; Ministry of Education, Youth and Sports, Czech Republic [CZ.02.2.69/0.0/0.0/16_027/0008464]; National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA [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 Faculty of Applied Informatics Tomas Bata University in Zlín T.G. Masaryka 5555, 760 05 Zlín, Czech Republic {pluhacek,senkerik,aviktorin,kadavy}@utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Pluhacek, Michal; Senkerik, Roman; Viktorin, Adam; Kadavy, Tomas] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76005, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlín, T.G. Masaryka 5555, Zlín, 760 05, 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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