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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Bibliographic Details
Published inNature-Inspired Design of Hybrid Intelligent Systems Vol. 667; pp. 269 - 283
Main Authors Peraza, Cinthia, Valdez, Fevrier, Castillo, Oscar
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2017
Springer International Publishing
SeriesStudies in Computational Intelligence
Subjects
Dynamic parameter adaptation
Fuzzy logic
Harmony search
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Summary: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.
ISBN:9783319470535
3319470531
ISSN:1860-949X
1860-9503
DOI:10.1007/978-3-319-47054-2_18