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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 | 978-3-319-97887-1 | |
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 |