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Optimal Design of Fuzzy Logic Systems Through a Chicken Search Optimization Algorithm Applied to a Benchmark Problem

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 915))

Abstract

In this paper an implementation of the CSO (Chicken Search Optimization) algorithm in benchmark problems is presented. CSO algorithm is used on solving the problem to find the optimal distribution on the Membership Functions (MFs) in the Type-1 Fuzzy Logic System (T1FLS) applied to fuzzy controller specifically for the water tank problem. Optimization in the structure and parameters for designing for a fuzzy tracking benchmark controller is presented. An efficiently CSO algorithm for the optimization in Fuzzy Logic Controllers (FLC) is presented. When level of noise is added in the model the CSO shows an excellent development. CSO algorithm shows better results when is compared with others metaheuristic in the simulation results for this benchmark control problem.

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Authors and Affiliations

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

    Leticia Amador-Angulo & Oscar Castillo

Authors
  1. Leticia Amador-Angulo
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  2. 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, Mexico

    Patricia Melin

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

    Oscar Castillo

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

    Janusz Kacprzyk

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Amador-Angulo, L., Castillo, O. (2021). Optimal Design of Fuzzy Logic Systems Through a Chicken Search Optimization Algorithm Applied to a Benchmark Problem. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Studies in Computational Intelligence, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-58728-4_14

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