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In this paper we propose a new method based on an interval type-2 fuzzy logic system for dynamic parameter adaptation in the harmony search (HS) algorithm. The main contribution of this paper is an improvement of HS in its abilities to search in a global and local fashion, by dynamically changing some of its parameters using an interval type-2 fuzzy logic system. The fuzzy harmony search algorithm...
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 the harmony memory accepting parameter that enhances the accuracy and convergence rate of the harmony search (HS) algorithm. In this paper the impacts of constant parameters on harmony search algorithm are discussed and a strategy for tuning...
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