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Identification of Fractional Chaotic Systems by Using the Locust Search Algorithm

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Book cover Advances in Metaheuristics Algorithms: Methods and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 775))

Abstract

Parameter estimation of fractional chaotic models has drawn the interests of different research communities due to its multiple applications. In the estimation process, the task is converted into a multi-dimensional optimization problem.

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Authors and Affiliations

  1. CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

    Erik Cuevas, Daniel Zaldívar & Marco Pérez-Cisneros

Authors
  1. Erik Cuevas
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  2. Daniel Zaldívar
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  3. Marco Pérez-Cisneros
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Correspondence to Erik Cuevas .

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Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2018). Identification of Fractional Chaotic Systems by Using the Locust Search Algorithm. In: Advances in Metaheuristics Algorithms: Methods and Applications. Studies in Computational Intelligence, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-89309-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-89309-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-89308-2

  • Online ISBN: 978-3-319-89309-9

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