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Border strategies of the bison algorithm

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dc.title Border strategies of the bison algorithm en
dc.contributor.author Kazíková, Anežka
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Proceedings of the 33rd International ECMS Conference on Modelling and Simulation (ECMS 2019)
dc.identifier.issn 2522-2414 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 33
utb.relation.issue 1
dc.citation.spage 43
dc.citation.epage 49
dc.event.title 33rd International ECMS Conference on Modelling and Simulation, ECMS 2019
dc.event.location Napoli
utb.event.state-en Italy
utb.event.state-cs Itálie
dc.event.sdate 2019-06-11
dc.event.edate 2019-06-14
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2019-0043
dc.relation.uri http://www.scs-europe.net/dlib/2019/2019-0043.htm
dc.relation.uri http://www.scs-europe.net/dlib/2019/ecms2019acceptedpapers/0043_is_ecms2019_0078.pdf
dc.subject Bison Algorithm en
dc.subject boundary strategy en
dc.subject hypersphere en
dc.description.abstract The Bison Algorithm is a recent swarm optimization algorithm based on bison behavior. The algorithm divides the population into two groups, simulating exploitation and exploration patterns separately. The exploration is particularly linked with crossing the search space boundaries. This paper compares several boundary violation protocols: the hypersphere, reflection, random positioning, and clipping strategies on IEEE CEC 2017 benchmark and seeks the most fitting method for the Bison Algorithm. © ECMS Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco (Editors). en
utb.faculty Faculty of Applied Informatics
utb.faculty University Institute
dc.identifier.uri http://hdl.handle.net/10563/1008958
utb.identifier.obdid 43880126
utb.identifier.scopus 2-s2.0-85068788214
utb.identifier.wok 000477784500006
utb.source d-scopus
dc.date.accessioned 2019-08-16T09:30:12Z
dc.date.available 2019-08-16T09:30:12Z
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/2019/002]; COST (European Cooperation in Science Technology) [CA15140, IC1406]; A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin
utb.ou CEBIA-Tech
utb.contributor.internalauthor Kazíková, Anežka
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2019/002. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO), and Action IC1406, High-Performance Modelling, and Simulation for Big Data Applications (cHiPSet). The work was further supported by resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz).
utb.wos.affiliation [Kazikova, Anezka; Oplatkova, Zuzana Kominkova; Pluhacek, Michal; Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, Zlin, 760 01, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2019/002
utb.fulltext.projects CA15140
utb.fulltext.projects IC1406
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