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Metaheuristics and Chaos Theory

In: Chaos Theory

Author

Listed:
  • Rui Tang
  • Simon Fong
  • Nilanjan Dey

Abstract

Chaos theory is a novelty approach that has been widely used into various applications. One of the famous applications is the introduction of chaos theory into optimization. Note that chaos theory is highly sensitive to initial condition and has the feature of randomness. As chaos theory has the feature of randomness and dynamical properties, it is easy to accelerate the optimization algorithm convergence and enhance the capability of diversity. In this work, we integrated 10 chaotic maps into several metaheuristic algorithms in order to extensively investigate the effectiveness of chaos theory for improving the search capability. Extensive experiments have been carried out and the results have shown that chaotic optimization can be a very promising tool for solving optimization algorithms.

Suggested Citation

  • Rui Tang & Simon Fong & Nilanjan Dey, 2018. "Metaheuristics and Chaos Theory," Chapters, in: Kais A. M. Al Naimee (ed.), Chaos Theory, IntechOpen.
    • Handle: RePEc:ito:pchaps:123170
    DOI: 10.5772/intechopen.72103
    as

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    More about this item

    Keywords

    chaos; optimization; metaheuristics algorithm;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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