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Tuning of the bison algorithm control parameters

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dc.title Tuning of the bison algorithm control parameters en
dc.contributor.author Kazíková, Anežka
dc.contributor.author Pluháček, Michal
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 156
dc.citation.epage 162
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 10.7148/2018-0156
dc.relation.uri http://www.scs-europe.net/dlib/2018/2018-0156.htm
dc.relation.uri http://www.scs-europe.net/dlib/2018/ecms2018acceptedpapers/0156_is_ecms2018_0866.pdf
dc.subject Bison Algorithm en
dc.subject parameter study en
dc.subject swarm algorithm en
dc.subject optimization en
dc.subject metaheuristic en
dc.description.abstract This paper studies the dependency of the Bison Algorithm performance on the control parameter configuration. The Bison Algorithm is a new swarm algorithm based on the protection mechanisms of bison herds. It operates with two groups: the exploiting swarming group and the exploring running group. Even though that adjusting the group size parameters affects both the time requirements and the performance of the algorithm, there was no investigation of the parameter settings carried out yet. This paper describes the Bison Algorithm and then investigates the control parameters for a better understanding of their meaning and influence on the overall optimization process. © 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/10563/1008572
utb.identifier.rivid RIV/70883521:28140/18:63520483!RIV19-MSM-28140___
utb.identifier.obdid 43878975
utb.identifier.scopus 2-s2.0-85062846361
utb.identifier.wok 000656119000023
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 Kazíková, Anežka
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Anezka Kazikova, Michal Pluhacek, Roman Senkerik Faculty of Applied Informatics Tomas Bata University in Zlin T.G. Masaryka 5555, 760 01 Zlin, Czech Republic E-mail: {kazikova, pluhacek, senkerik}@utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Kazikova, Anezka; 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.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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