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Unconventional Algorithms and Hidden Chaotic Attractors

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Chaotic Systems with Multistability and Hidden Attractors

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 40))

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Abstract

Evolutionary algorithms (EAs) and deterministic chaos, which is a complex behavior produced by complex as well as simple dynamical systems, are tightly joined to create an interdisciplinary fusion of two interesting areas. This chapter discusses the use of EAs for numerical identification of the existence of the so-called hidden attractors (a full report is in [1]), which are part of the chaotic dynamics, as well as their synthesis [2, 3].

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Notes

  1. 1.

    https://www.youtube.com/watch?v=jP-QMmzGL5I.

  2. 2.

    https://www.youtube.com/watch?v=faB5bIdksi8.

  3. 3.

    http://nmp.jpl.nasa.gov/st5/.

  4. 4.

    http://www.math.spbu.ru/user/nk/.

  5. 5.

    navy.cs.vsb.cz.

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Acknowledgements

The following grants are acknowledged for the financial support provided to this research: Grant Agency of the Czech Republic–GACR P103/15/06700S and by Grant of SGS No. SP2016/175, VSB–Technical University of Ostrava.

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Authors and Affiliations

  1. Department of Computer Science, FEI, VSB Technical University of Ostrava, Tr. 17. Listopadu 15, Ostrava, Czech Republic

    Ivan Zelinka

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  1. Ivan Zelinka
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Correspondence to Ivan Zelinka .

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  1. Institute for Advanced Studies, Shenzhen University, Shenzhen, China

    Xiong Wang

  2. Faculty of Information Technology, The University of Jyväskylä, Jyväskylä, Finland

    Nikolay V. Kuznetsov

  3. Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China

    Guanrong Chen

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Zelinka, I. (2021). Unconventional Algorithms and Hidden Chaotic Attractors. In: Wang, X., Kuznetsov, N.V., Chen, G. (eds) Chaotic Systems with Multistability and Hidden Attractors. Emergence, Complexity and Computation, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-030-75821-9_18

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