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



Document title: Fuzzy Flower Pollination Algorithm: Comparative Study of Type-1 and Interval Type-2 Fuzzy Logic System in Parameter Adaptation Optimization
Journal: Computación y sistemas
Database:
System number: 000560704
ISSN: 1405-5546
Authors: 1
1
1
Institutions: 1Tijuana Institute of Technology, México
Year:
Season: Abr-Jun
Volumen: 26
Number: 2
Pages: 643-661
Country: México
Language: Inglés
English 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.
Keyword: Bioinspired algorithm,
Flower pollination algorithm,
Optimization,
Interval type-2 fuzzy logic
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