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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-10-01
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Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/9/4/69 |