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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

In this chapter, basic concepts of the main algorithms and theory used in this book are presented.

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Authors and Affiliations

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

    Frumen Olivas, Fevrier Valdez, Oscar Castillo & Patricia Melin

Authors
  1. Frumen Olivas
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  2. Fevrier Valdez
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  3. Oscar Castillo
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  4. Patricia Melin
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Correspondence to Frumen Olivas .

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Olivas, F., Valdez, F., Castillo, O., Melin, P. (2018). Theory and Background. In: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-70851-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-70851-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70850-8

  • Online ISBN: 978-3-319-70851-5

  • eBook Packages: EngineeringEngineering (R0)

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