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23rd International Conference on Soft Computing

MENDEL 2017: Recent Advances in Soft Computing pp 146–156Cite as

Proposal of a New Swarm Optimization Method Inspired in Bison Behavior

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 837))

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Anezka Kazikova, Michal Pluhacek, Roman Senkerik & Adam Viktorin

Authors
  1. Anezka Kazikova
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  2. Michal Pluhacek
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  3. Roman Senkerik
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  4. Adam Viktorin
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Corresponding author

Correspondence to Anezka Kazikova .

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Editors and Affiliations

  1. Department of Applied Computer Science, Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic

    Radek Matoušek

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Kazikova, A., Pluhacek, M., Senkerik, R., Viktorin, A. (2019). Proposal of a New Swarm Optimization Method Inspired in Bison Behavior. In: Matoušek, R. (eds) Recent Advances in Soft Computing . MENDEL 2017. Advances in Intelligent Systems and Computing, vol 837. Springer, Cham. https://doi.org/10.1007/978-3-319-97888-8_13

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