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A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm

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Nature-Inspired Design of Hybrid Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 667))

Abstract

The firefly algorithm is a bioinspired metaheuristic-based on the firefly’s behavior. This paper shows previous works on parameters analysis and dynamical parameter adjustment, using different approaches and fuzzy logic.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, BC, Mexico

    Carlos Soto, Fevrier Valdez & Oscar Castillo

Authors
  1. Carlos Soto
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  2. Fevrier Valdez
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  3. Oscar Castillo
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Corresponding author

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Soto, C., Valdez, F., Castillo, O. (2017). A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-47054-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47053-5

  • Online ISBN: 978-3-319-47054-2

  • eBook Packages: EngineeringEngineering (R0)

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