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Hybridization of Multi-chaotic Dynamics and Adaptive Control Parameter Adjusting jDE Strategy

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Recent Advances in Soft Computing (ICSC-MENDEL 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 576))

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Abstract

This research deals with the hybridization of several approaches for evolutionary algorithms, which are the adaptive control parameter adjusting strategy and multi-chaotic dynamics driving the selection of indices in Differential Evolution (DE). The novelty of the paper is given by the experiments with the multi-chaos-driven adaptive DE concept inside adaptive parameter adjusting DE strategies. These experiments are representing the investigations on the mutual influences of several different randomizations types together with adaptive DE strategies. The multi-chaotic concept is representing the adaptive switching between two different chaotic systems based on the progress of individuals within population. This paper is aimed at the embedding of discrete dissipative chaotic systems in the form of multi-chaotic pseudo random number generators for the jDE, which is the state of the art representative of simple adaptive control parameter adjusting strategy for DE. Repeated simulations for two different combinations of driving chaotic systems were performed on the IEEE CEC 13 benchmark set. Finally, the obtained results are compared with the canonical not-chaotic jDE.

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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 Pro- gramme project No. LO1303 (MSMT-7778/2014) and 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. SP2016/175 of VSB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/CebiaTech/2016/007.

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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

    Roman Senkerik, Michal Pluhacek, Adam Viktorin & Zuzana Kominkova Oplatkova

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

    Ivan Zelinka

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  1. Roman Senkerik
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  2. Michal Pluhacek
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  3. Ivan Zelinka
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  4. Adam Viktorin
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  5. Zuzana Kominkova Oplatkova
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Correspondence to Roman Senkerik .

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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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Senkerik, R., Pluhacek, M., Zelinka, I., Viktorin, A., Kominkova Oplatkova, Z. (2017). Hybridization of Multi-chaotic Dynamics and Adaptive Control Parameter Adjusting jDE Strategy. In: Matoušek, R. (eds) Recent Advances in Soft Computing. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-319-58088-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-58088-3_8

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  • Online ISBN: 978-3-319-58088-3

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