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Boundary strategies for firefly algorithm analysed using CEC`17 benchmark

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dc.title Boundary strategies for firefly algorithm analysed using CEC`17 benchmark en
dc.contributor.author Kadavý, Tomáš
dc.contributor.author Pluháček, Michal
dc.contributor.author Viktorin, Adam
dc.contributor.author Šenkeřík, Roman
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 170
dc.citation.epage 175
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 10.7148/2018-0170
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0170.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0170_is_ecms2018_0868.pdf
dc.subject Firefly Algorithm en
dc.subject FA en
dc.subject FFPSO en
dc.subject boundary en
dc.subject CEC17 en
dc.description.abstract In this paper, we are presenting a comparison of few selected boundary strategies for two popular optimization algorithms. The Firefly Algorithm (FA) and its hybridized modification, the Firefly Particle Swarm Optimization (FFPSO). The problem of boundary constrained optimization was already extensively studied for well-known heuristic optimization Particle Swarm Optimization (PSO). This suggesting importance for similar research for other swarm-based algorithms, like FA. The recent CEC'17 benchmark suite is used for the performance comparison of the methods and the results are compared and tested for statistical significance. © 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/10563/1008571
utb.identifier.rivid RIV/70883521:28140/18:63520391!RIV19-MSM-28140___
utb.identifier.obdid 43878911
utb.identifier.scopus 2-s2.0-85062853966
utb.identifier.wok 000656119000025
utb.source d-scopus
dc.date.accessioned 2019-07-08T11:59:55Z
dc.date.available 2019-07-08T11:59:55Z
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 Kadavý, Tomáš
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Viktorin, Adam
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik Tomas Bata University in Zlin, Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {kadavy, pluhacek, aviktorin, senkerik}@utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Kadavy, Tomas; Pluhacek, Michal; Viktorin, Adam; Senkerik, Roman] 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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