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Intercriteria Analysis and Arithmetic Functions Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Fuzzy Harmony Search Algorithm Using an Interval Type-2 Fuzzy Logic Applied to Benchmark Mathematical Functions

Authors : Cinthia Peraza, Fevrier Valdez, Oscar Castillo

Published in: Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Publisher: Springer International Publishing

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Abstract

This paper presents a fuzzy harmony search algorithm (FHS) based on an interval type-2 fuzzy logic system for dynamic parameter adaptation. The harmony memory accepting (HMR) and pitch adjustment (PArate) parameters are changing during the iterations in the improvisation process of this algorithm using the fuzzy system. The FHS has been successfully applied to various benchmark optimization problems. Numerical results reveal that the proposed algorithm can find better solutions when compared to a type-1 FHS and other heuristic methods and is a powerful search algorithm for various benchmark optimization problems.

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Metadata
Title
Fuzzy Harmony Search Algorithm Using an Interval Type-2 Fuzzy Logic Applied to Benchmark Mathematical Functions
Authors
Cinthia Peraza
Fevrier Valdez
Oscar Castillo
Copyright Year
2019
Book
Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

Print ISBN: 978-3-319-78930-9

Electronic ISBN: 978-3-319-78931-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-78931-6_2

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