A New Fuzzy Harmony Search Algorithm Using Fuzzy Logic for Dynamic Parameter Adaptation

In this paper, a new fuzzy harmony search algorithm (FHS) for solving optimization problems is presented. FHS is based on a recent method using fuzzy logic for dynamic adaptation of the harmony memory accepting (HMR) and pitch adjustment (PArate) parameters that improve the convergence rate of tradi...

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Bibliographic Details
Main Authors: Cinthia Peraza, Fevrier Valdez, Mario Garcia, Patricia Melin, Oscar Castillo
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/9/4/69