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Evolutionary Design of Chaos Control in 1D

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Evolutionary Algorithms and Chaotic Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 267))

Abstract

The main aim of this work is to show that powerful optimizing tools like evolutionary algorithms can be in reality used for the optimization of deterministic chaos control. This work is aimed on explanation of how to use evolutionary algorithms (EAs) and how to properly define the cost function (CF). It is also focused on selection of control method and, the explanation of all possible problems with optimization which comes together in such a difficult task, which is chaos control.

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Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic

    Roman Senkerik, Ivan Zelinka, Donald Davendra & Zuzana Oplatkova

  2. Faculty of Electrical Engineering and Computer Science, VSB-TUO, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

Authors
  1. Roman Senkerik
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  2. Ivan Zelinka
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  3. Donald Davendra
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  4. Zuzana Oplatkova
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Editor information

Editors and Affiliations

  1. Department of Applied Informatics Faculty of Applied Informatics, Tomas Bata Univerzity in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic

    Ivan Zelinka

  2. Department of Control Engineering Faculty of Electrical Engineering, Czech Technical University in Prague UTIA AV CR, Pod vodarenskou vezi 4, 182 08, Prague 8, Czech Republic

    Sergej Celikovsky

  3. Faculty of Electrical Engineering & Information Technology, HTWK Leipzig, 04251, Leipzig, Germany

    Hendrik Richter

  4. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR P. R. China

    Guanrong Chen

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Senkerik, R., Zelinka, I., Davendra, D., Oplatkova, Z. (2010). Evolutionary Design of Chaos Control in 1D. In: Zelinka, I., Celikovsky, S., Richter, H., Chen, G. (eds) Evolutionary Algorithms and Chaotic Systems. Studies in Computational Intelligence, vol 267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10707-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-10707-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10706-1

  • Online ISBN: 978-3-642-10707-8

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