عنوان مقاله [English]
Nowadays, metaheuristic algorithms play a significant role in solving optimization problems. These algorithms have primary parameters that optimized tuning of them play an effective role in the quality of obtained solution. Many of the current methods have considered the tuning parameters as constant in all ongoing stages while it is appropriate for the tuning parameters to undergo necessary changes during the phases under various circumstances. In this paper, we propose a method based on taguchi-based experimental design method to tune the harmony search metaheuristic algorithm. With the aid of this method which
is capable of great performance in many metaheuristic algorithms, we hope to tune the primary parameters dynamically. Having examined the performance of dynamic taguchi parameter setting method on the four problem of optimizing additional components assignment, the results confirm the superior stability and reliability of this method in comparison to the classic taguchi method.