An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization
This paper develops a new fuzzy harmony search algorithm (FHS) for solving optimization problems. FHS employs a novel method using fuzzy logic for adaptation of parameter the pitch adjustment (PArate) that enhances accuracy and convergence of harmony search (HS) algorithm. In this paper the impact o...
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Published in | Nature-Inspired Design of Hybrid Intelligent Systems Vol. 667; pp. 269 - 283 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
01.01.2017
Springer International Publishing |
Series | Studies in Computational Intelligence |
Subjects | |
Online Access | Get full text |
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Abstract | This paper develops a new fuzzy harmony search algorithm (FHS) for solving optimization problems. FHS employs a novel method using fuzzy logic for adaptation of parameter the pitch adjustment (PArate) that enhances accuracy and convergence of harmony search (HS) algorithm. In this paper the impact of constant parameters on harmony search algorithm is discussed and a strategy for tuning these parameters is presented. The FHS algorithm has been successfully applied to various benchmarking optimization problems. Numerical results reveal that the proposed algorithm can find better solutions when compared to HS and other heuristic methods and is a powerful search algorithm for various benchmarking optimization problems. |
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AbstractList | This paper develops a new fuzzy harmony search algorithm (FHS) for solving optimization problems. FHS employs a novel method using fuzzy logic for adaptation of parameter the pitch adjustment (PArate) that enhances accuracy and convergence of harmony search (HS) algorithm. In this paper the impact of constant parameters on harmony search algorithm is discussed and a strategy for tuning these parameters is presented. The FHS algorithm has been successfully applied to various benchmarking optimization problems. Numerical results reveal that the proposed algorithm can find better solutions when compared to HS and other heuristic methods and is a powerful search algorithm for various benchmarking optimization problems. |
Author | Valdez, Fevrier Castillo, Oscar Peraza, Cinthia |
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Editor | Castillo, Oscar Melin, Patricia Kacprzyk, Janusz |
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StartPage | 269 |
SubjectTerms | Dynamic parameter adaptation Fuzzy logic Harmony search |
Title | An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization |
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