Optimal Design of Fuzzy Systems Using Differential Evolution and Harmony Search Algorithms with Dynamic Parameter Adaptation

Optimal Design of Fuzzy Systems Using Differential Evolution and Harmony Search Algorithms with Dynamic Parameter Adaptation

This paper presents a study of two popular metaheuristics, namely differential evolution (DE) and harmony search (HS), including a proposal for the dynamic modification of parameters of each algorithm. The methods are applied to two cases, finding the optimal design of a fuzzy logic system (FLS) app...

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Bibliographic Details
Main Authors: Oscar Castillo, Fevrier Valdez, José Soria, Jin Hee Yoon, Zong Woo Geem, Cinthia Peraza, Patricia Ochoa, Leticia Amador-Angulo
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
optimization algorithm
metaheuristics
fuzzy logic
fuzzy logic control
differential evolution
harmony search
Online Access:https://www.mdpi.com/2076-3417/10/18/6146

Internet

https://www.mdpi.com/2076-3417/10/18/6146

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