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Mexican International Conference on Artificial Intelligence

MICAI 2018: Advances in Soft Computing pp 369–378Cite as

Differential Evolution Algorithm Using a Dynamic Crossover Parameter with High-Speed Interval Type 2 Fuzzy System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11288))

Abstract

The main contribution of this paper is the use of a new concept of type reduction in type-2 fuzzy systems for improving performance in differential evolution algorithm. The proposed method is an analytical approach using an approximation to the Continuous Karnik-Mendel (CEKM) method, and in this way the computational evaluation cost of the Interval Type 2 Fuzzy System is reduced. The performance of the proposed approach was evaluated with seven reference functions using the Differential Evolution algorithm with a crossover parameter that is dynamically adapted with the proposed methodology.

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Author information

Authors and Affiliations

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

    Patricia Ochoa, Oscar Castillo, José Soria & Prometeo Cortes-Antonio

Authors
  1. Patricia Ochoa
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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. Instituto Politécnico Nacional, Mexico City, Mexico

    Ildar Batyrshin

  2. Universidad Panamericana, Mexico City, Mexico

    María de Lourdes Martínez-Villaseñor

  3. Faculty of Engineering, Universidad Panamericana, Mexico City, Mexico

    Hiram Eredín Ponce Espinosa

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Ochoa, P., Castillo, O., Soria, J., Cortes-Antonio, P. (2018). Differential Evolution Algorithm Using a Dynamic Crossover Parameter with High-Speed Interval Type 2 Fuzzy System. In: Batyrshin, I., Martínez-Villaseñor, M., Ponce Espinosa, H. (eds) Advances in Soft Computing. MICAI 2018. Lecture Notes in Computer Science(), vol 11288. Springer, Cham. https://doi.org/10.1007/978-3-030-04491-6_28

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  • DOI: https://doi.org/10.1007/978-3-030-04491-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04490-9

  • Online ISBN: 978-3-030-04491-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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