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A Hybrid Fuzzy Fireworks and Grey Wolf Metaheuristic Algorithm

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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1146))

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Abstract

In this paper, we are presenting a proposed method called Hybrid Fuzzy Fireworks and Grey Wolf Metaheuristic Algorithm, which is a method that used Fuzzy Logic for controlling a parameter. In this work we dynamically adjust the amplitude coefficient parameter with a Fuzzy Inference System using Triangular membership functions. The main goal of this work is to control the amplitude explosion for each solution into the search space of the hybrid algorithm; We tested the performance of the hybrid fuzzy method with benchmark mathematical functions. The proposed method is denoted as F-FWA-GWO and is explained in detail in the following sections.

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Authors and Affiliations

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

    Juan Barraza, Luis Rodriguez, Fevrier Valdez, Patricia Melin & Oscar Castillo

Authors
  1. Juan Barraza
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  2. Luis Rodriguez
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  3. Fevrier Valdez
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  4. Patricia Melin
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  5. Oscar Castillo
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Corresponding author

Correspondence to Oscar Castillo .

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Editors and Affiliations

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

    Patricia Melin

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

    Oscar Castillo

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Barraza, J., Rodriguez, L., Valdez, F., Melin, P., Castillo, O. (2024). A Hybrid Fuzzy Fireworks and Grey Wolf Metaheuristic Algorithm. In: Melin, P., Castillo, O. (eds) New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms. Studies in Computational Intelligence, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-031-53713-4_16

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