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Metaheuristic Algorithms Based on Fuzzy Logic

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Advances in Metaheuristics Algorithms: Methods and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 775))

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Abstract

Several systems are extremely complicated to be handled quantitatively. In spite of this humans undergo them by using simplistic rules that are obtained from their own experiences.

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Authors and Affiliations

  1. CUCEI, Universidad de Guadalajara, Guadalajara, Mexico

    Erik Cuevas, Daniel Zaldívar & Marco Pérez-Cisneros

Authors
  1. Erik Cuevas
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  2. Daniel Zaldívar
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  3. Marco Pérez-Cisneros
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Corresponding author

Correspondence to Erik Cuevas .

Appendix: List of Benchmark Functions

Appendix: List of Benchmark Functions

See Tables 8.17, 8.18 and 8.19.

Table 8.17 Unimodal test functions used in the experimental study
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Table 8.18 Multimodal test functions used in the experimental study
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Table 8.19 Hybrid test functions used in the experimental study
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Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. (2018). Metaheuristic Algorithms Based on Fuzzy Logic. In: Advances in Metaheuristics Algorithms: Methods and Applications. Studies in Computational Intelligence, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-89309-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-89309-9_8

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  • Online ISBN: 978-3-319-89309-9

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