Fuzzy Flower Pollination Algorithm: Comparative Study of Type-1 and Interval Type-2 Fuzzy Logic System in Parameter Adaptation Optimization
Título del documento: Fuzzy Flower Pollination Algorithm: Comparative Study of Type-1 and Interval Type-2 Fuzzy Logic System in Parameter Adaptation Optimization
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560704
ISSN: 1405-5546
Autores: 1
1
1
Instituciones: 1Instituto Tecnológico de Tijuana, Tijuana, Baja California. México
Año:
Periodo: Abr-Jun
Volumen: 26
Número: 2
Paginación: 643-661
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés 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.
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos
Keyword: Data processing
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