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Advances in Data Analysis with Computational Intelligence Methods pp 311–321Cite as

A Review of Fuzzy and Mathematic Methods for Dynamic Parameter Adaptation in the Firefly Algorithm

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 738))

Abstract

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

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Author information

Authors and Affiliations

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

    Oscar Castillo, Carlos Soto & Fevrier Valdez

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

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. Department of Medicine, Division of Nephrology and Hypertension, University of Louisville, Louisville, Kentucky, USA

    Adam E Gawęda

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

    Janusz Kacprzyk

  3. Institute of Computational Intelligence, Department of Mechanical Engineering and Computer Science, Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  4. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, USA

    Gary G. Yen

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Castillo, O., Soto, C., Valdez, F. (2018). A Review of Fuzzy and Mathematic Methods for Dynamic Parameter Adaptation in the Firefly Algorithm. In: Gawęda, A., Kacprzyk, J., Rutkowski, L., Yen, G. (eds) Advances in Data Analysis with Computational Intelligence Methods. Studies in Computational Intelligence, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-67946-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-67946-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67945-7

  • Online ISBN: 978-3-319-67946-4

  • eBook Packages: EngineeringEngineering (R0)

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