Fuzzy Flower Pollination Algorithm (FFPA): Comparative Study of Type-1 (T1FLS) and Interval Type-2 Fuzzy Logic System (IT2FLS) in Optimization Parameter Adaptation

Authors

  • Hector Carreon-Ortiz Instituto Tecnológico de Tijuana
  • Fevrier Valdez Instituto Tecnológico de Tijuana
  • Oscar Castillo Instituto Tecnológico de Tijuana

DOI:

https://doi.org/10.13053/cys-26-2-4247

Keywords:

Bioinspired algorithm, flower pollination algorithm, optimization, interval type-2 fuzzy logic

Abstract

State-of-the-art algorithms are competitive, because they get the most out of available resources. Metaheuristic algorithms solve optimization problems from a search space. The proposal in this research work is to use the algorithm bio-inspired by nature Flower Pollination Algorithm (FPA) for the optimization of the membership functions of an Interval Type-2 Fuzzy Logic system, which we will call IT2FLS-FPA (Interval Type-2 Fuzzy Logic System-Flower Pollination Algorithm). This work is presented to continue with one that we developed before [6], in this investigation we made a comparison between a non-optimized IT2FLS-FPA and an optimized IT2FLS-FPA where we demonstrate that the latter is better by means of statistical hypothesis tests.

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Published

2022-06-15

Issue

Vol. 26 No. 2 (2022): Emerging Issues and Applications of Fuzzy Systems, Neural Networks and Metaheuristics (Castillo, Melin, Montiel, Valdez)

Section

Articles of the Thematic Issue

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