Tuning of the bison algorithm control parameters

Kazíková, Anežka; Pluháček, Michal; Šenkeřík, Roman

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