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Proposal of a new swarm optimization method inspired in bison behavior

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dc.title Proposal of a new swarm optimization method inspired in bison behavior en
dc.contributor.author Kazíková, Anežka
dc.contributor.author Pluháček, Michal
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Viktorin, Adam
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319978871
dc.date.issued 2019
utb.relation.volume 837
dc.citation.spage 146
dc.citation.epage 156
dc.event.title 23rd International Conference on Soft Computing, MENDEL 2017
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2017-06-20
dc.event.edate 2017-06-22
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-97888-8_13
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-97888-8_13
dc.subject bison en
dc.subject bison algorithm en
dc.subject optimization en
dc.subject swarm intelligence en
dc.description.abstract This paper proposes a new swarm optimization algorithm inspired by bison behavior. The algorithm mimics two survival mechanisms of the bison herds: swarming into the circle of the strongest individuals and exploring the search space via organized run throughout the optimization process. The proposed algorithm is compared to the Particle Swarm Optimization and the Cuckoo Search algorithms on four benchmark functions. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008172
utb.identifier.obdid 43880094
utb.identifier.scopus 2-s2.0-85051771030
utb.source d-scopus
dc.date.accessioned 2018-08-30T13:31:26Z
dc.date.available 2018-08-30T13:31:26Z
utb.contributor.internalauthor Kazíková, Anežka
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Viktorin, Adam
utb.fulltext.affiliation Anezka Kazikova (✉) , Michal Pluhacek, Roman Senkerik, and Adam Viktorin Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {kazikova,pluhacek,senkerik,aviktorin}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references 1. Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Publishers, Burlington (2001) 2. Yang, X.S.: Nature-Inspired Metaheuristic Algorithms. Luniver Press, Frome (2010) 3. Fister, I., Fister Jr., I., Yang, X.S., Brest, J.: A comprehensive review of firefly algorithms. Swarm Evol. Comput. 13, 34–46 (2013) 4. Mirjalili, S., Mirjalili, S.M., Lewis, A.: Gray wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014) 5. Rajasekhar, A., Lynn, N., Das, S., Suganthan, P.N.: Computing with the collective intelligence of honey bees–a survey. Swarm Evol. Comput. 32, 25–48 (2017) 6. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science MHS 1995, pp. 39–43 (1995) 7. Odili, J.B., Kahar, M.N.M.: African buffalo optimization. Int. J. Softw. Eng. Comput. Syst. 2 (1), 28–50 (2016) 8. Berman, R.: American Bison (Nature Watch). Lerner Publications, Minneapolis (2008) 9. Zelinka, I.: SOMA—self-organizing migrating algorithm. In: New Optimization Techniques in Engineering, pp. 167–217. Springer, Heidelberg (2004) 10. Zelinka, I.: SOMA—self-organizing migrating algorithm. In: Self-Organizing Migrating Algorithm, pp. 3–49. Springer, Heidelberg (2016) 11. Faris, H.: EvoloPy GitHub repository (2017). https://github.com/7ossam81/EvoloPy. Accessed 1 May 2017
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic – GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014. Also 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/2017/004.
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, Zlin, Czech Republic
utb.fulltext.projects GACR P103/15/06700S
utb.fulltext.projects LO1303 (MSMT-7778/2014)
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2017/004
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