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The Initial Study on the Potential of Super-Sized Swarm in PSO

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Mendel 2015 (ICSC-MENDEL 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 378))

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Abstract

In this initial study it is addressed the issue of population size for the PSO algorithm. For many years now it is understood that population size of several dozens is sufficient for the vast majority of optimization tasks. With strict limitation of cost function evaluations (CFEs) the setting is typically limited to adjusting the number of iterations of the algorithm. In this study it is investigated the possibility of using population of thousands of particles and its effect on the performance of the algorithm in limited CFEs. It is also proposed an alternative setting of acceleration constants in order to improve the performance of the PSO with super-sized population. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set and compared with original PSO design and state of art methods.

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Acknowledgments

This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic. also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant of SGS No. SP2015/142, VÅ B - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2015/057.

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Authors and Affiliations

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

    Michal Pluhacek & Roman Senkerik

  2. Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. Listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

Authors
  1. Michal Pluhacek
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  2. Roman Senkerik
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  3. Ivan Zelinka
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Corresponding author

Correspondence to Michal Pluhacek .

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Editors and Affiliations

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

    Radek Matoušek

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Pluhacek, M., Senkerik, R., Zelinka, I. (2015). The Initial Study on the Potential of Super-Sized Swarm in PSO. In: Matoušek, R. (eds) Mendel 2015. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-319-19824-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-19824-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19823-1

  • Online ISBN: 978-3-319-19824-8

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