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A New Cuckoo Search Algorithm Using Interval Type-2 Fuzzy Logic for Dynamic Parameter Adaptation

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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation (INFUS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 308))

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Abstract

The main objective of this work is to select the best parameters to be dynamically adjusted in the Cuckoo Search via Lévy Flight (CS) Algorithm using interval type 2 fuzzy logic. The main objective is to dynamically change the parameters, our fuzzy will include a Mamdani type system that will include an input and output to dynamically adjust the algorithm and improve the performance of the optimized CS algorithm. In order to demonstrate the performance and results of the algorithm, the comparison is made between the original algorithm, type 1 fuzzy logic and type, tests were performed with benchmark mathematical functions. The results of the simulation shows that the proposed algorithm has good results with respect to using type-1 fuzzy logic in CS or using the original CS algorithm without parameter adaptation. Lévy flights are used in the algorithm with the intention of exploring solutions and randomness solutions in space.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, México

    Maribel Guerrero, Fevrier Valdez & Oscar Castillo

Authors
  1. Maribel Guerrero
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  2. Fevrier Valdez
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  3. Oscar Castillo
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Corresponding author

Correspondence to Fevrier Valdez .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Guerrero, M., Valdez, F., Castillo, O. (2022). A New Cuckoo Search Algorithm Using Interval Type-2 Fuzzy Logic for Dynamic Parameter Adaptation. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-85577-2_98

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