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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2016: Artificial Intelligence and Soft Computing pp 465–475Cite as

Chaos Enhanced Repulsive MC-PSO/DE Hybrid

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

Abstract

In this paper a previously proposed method is extended with pseudo-random number generator based on chaotic sequences. Several recent approaches for designing the evolutionary computational techniques are merged in the proposed method. The proposed method represents a hybridization of heterogeneous swarm based PSO and differential evolution extended with the chaotic sequences implementation. The performance of the proposed method is tested on IEEE CEC 2013 benchmark set.

Michal Pluhacek—This work was supported by Grant Agency of the Czech Republic GACR P103/15/06700S, by the Programme EEA and Norway Grants for funding via grant on Institutional cooperation project nr. NF-CZ07-ICP-4-345-2016, 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 Project no. IGA/CebiaTech/2016/007.

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Author information

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 & Adam Viktorin

  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. Adam Viktorin
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  4. Ivan Zelinka
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Corresponding author

Correspondence to Michal Pluhacek .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Pluhacek, M., Senkerik, R., Viktorin, A., Zelinka, I. (2016). Chaos Enhanced Repulsive MC-PSO/DE Hybrid. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_40

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

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