Regarding the behavior of bison runners within the Bison algorithm

Kazíková, Anežka; Pluháček, Michal; Šenkeřík, Roman

dc.title	Regarding the behavior of bison runners within the Bison algorithm	en
dc.contributor.author	Kazíková, Anežka
dc.contributor.author	Pluháček, Michal
dc.contributor.author	Šenkeřík, Roman
dc.relation.ispartof	Mendel
dc.identifier.issn	1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2018
utb.relation.volume	24
utb.relation.issue	1
dc.citation.spage	63
dc.citation.epage	70
dc.type	article
dc.language.iso	en
dc.publisher	Brno University of Technology
dc.identifier.doi	10.13164/mendel.2018.1.063
dc.relation.uri	https://mendel-journal.org/index.php/mendel/article/view/24
dc.subject	Bison algorithm	en
dc.subject	Bison seeker algorithm	en
dc.subject	optimization	en
dc.subject	swarm algorithms	en
dc.description.abstract	This paper proposes a modification of the Bison Algorithm’s running technique, which allows the running group to exploit the areas of discovered promising solutions. It also provides a closer examination of the successful running behavior and its impact on the overall optimization process. The new algorithm is then compared to other optimization algorithms on the IEEE CEC 2017 benchmark solving continuous minimization problems. © 2018, Brno University of Technology. All rights reserved.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1009091
utb.identifier.obdid	43881155
utb.identifier.scopus	2-s2.0-85066326306
utb.source	j-scopus
dc.date.accessioned	2019-09-19T07:56:16Z
dc.date.available	2019-09-19T07:56:16Z
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.access	openAccess
utb.ou	CEBIA-Tech
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 {kazikova, pluhacek, senkerik}@utb.cz
utb.fulltext.dates	-
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/2018/003. 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.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/2018/003
utb.fulltext.projects	CA15140
utb.fulltext.projects	IC1406
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.faculty	Faculty of Applied Informatics