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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine pp 289–299Cite as

Optimization of Fuzzy Controllers for Autonomous Mobile Robots Using the Grey Wolf Optimizer

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 827))

Abstract

Through the advance of technology, every day new methods or computational techniques emerge that allow us to solve problems in different areas, such as medicine, engineering, even in any industrial process. Optimization is of vital importance in this industry, the main objective being to find the best possible solution to the problem. In this work we propose to use the Grey Wolf Optimizer (GWO), which is a metaheuristic, which is inspired by the hunting behavior and leadership hierarchy of grey wolves, in addition to analyzing and explaining the proposed methodology for the optimization of fuzzy controllers for mobile autonomous robots.

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Acknowledgements

It is widely appreciated to the Consejo Nacional de Ciencia y Tecnologia and Tecnologico Nacional de Mexico/Tijuana Institute of Technology for the time, resource, space and facilities provided for the development of this work.

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Authors and Affiliations

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

    Eufronio Hernández, Oscar Castillo & José Soria

Authors
  1. Eufronio Hernández
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  2. Oscar Castillo
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  3. José Soria
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Corresponding author

Correspondence to Oscar Castillo .

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Editors and Affiliations

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

    Oscar Castillo

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

    Patricia Melin

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Hernández, E., Castillo, O., Soria, J. (2020). Optimization of Fuzzy Controllers for Autonomous Mobile Robots Using the Grey Wolf Optimizer. In: Castillo, O., Melin, P. (eds) Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine. Studies in Computational Intelligence, vol 827. Springer, Cham. https://doi.org/10.1007/978-3-030-34135-0_20

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