Name: General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (Springerbriefs in Applied Sciences and Technology) (en Inglés)
Price: 94960.00 CLP
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Author: Fevrier Valdez; Cinthia Peraza; Oscar Castillo
ISBN: 9783030439491

portada General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Fevrier Valdez; Cinthia Peraza; Oscar Castillo

Año

2020

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783030439491

N° edición

Categorías

Inteligencia artificial

General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (Springerbriefs in Applied Sciences and Technology) (en Inglés)

Fevrier Valdez; Cinthia Peraza; Oscar Castillo (Autor) · Springer · Tapa Blanda

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Reseña del libro "General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm (Springerbriefs in Applied Sciences and Technology) (en Inglés)"

This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic.This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems – four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.