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Optimal Design of Fuzzy Controllers Using the Multiverse Optimizer

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Hybrid Intelligent Systems (HIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1375))

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Abstract

In this paper we study the application of metaheuristics in optimization of fuzzy logic controllers, mainly with the multi-verse optimizer and the comparison with other algorithms like PSO. For the main application of the study, we use a common control problem which is the temperature control in a shower, where its control objective is to achieve and maintain a desired temperature and flow, this by controlling the opening and closing speed of the cold and hot water valves. The fuzzy system that controls this problem uses two inputs and two outputs, where the optimization occurs over the antecedent and consequent membership functions, this by only changing the parameters of the main points in every membership function. The objective of this study is to observe the behavior of the multi-verse optimizer over control systems and its promising uses on more complex fuzzy control systems.

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Author information

Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, Mexico

    Lucio Amézquita, Oscar Castillo, José Soria & Prometeo Cortes-Antonio

Authors
  1. Lucio Amézquita
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  2. Oscar Castillo
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  3. José Soria
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  4. Prometeo Cortes-Antonio
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Corresponding author

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Solothurn, Switzerland

    Thomas Hanne

  3. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, AL, USA

    Niketa Gandhi

  5. Universidade Federal da Bahia, Salvador, Bahia, Brazil

    Tatiane Nogueira Rios

  6. Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Amézquita, L., Castillo, O., Soria, J., Cortes-Antonio, P. (2021). Optimal Design of Fuzzy Controllers Using the Multiverse Optimizer. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_29

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