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An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization

  • Cinthia PerazaEmail author
  • Fevrier Valdez
  • Oscar Castillo
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 667)

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.

Keywords

Harmony search Fuzzy logic Dynamic parameter adaptation 

Notes

Acknowledgment

We would like to express our gratitude to CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Cinthia Peraza
    • 1
    Email author
  • Fevrier Valdez
    • 1
  • Oscar Castillo
    • 1
  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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