Optimizing Simulated Annealing Algorithms Using Taguchi Method

다구치 기법을 이용한 시뮬레이티드 어닐링 알고리듬의 최적화

The performance of simulated annealing (SA) algorithm such as solution optimality and computation time mainly depends on how to determine the SA-related parameters Several schemes have been suggested to improve the performance of SA and several parameter design methods have been utilized to select parameter values of each scheme. In this paper, we propose a new SA algorithm design method that can determine schemes as well as parameter values simultaneously The new SA algorithm design method is based on the Taguchl method which primarily selects the design parameters for a product or process to minimize the effect of noise parameters. so that the response is close to the desired target with minimum variation. To show the effectiveness of the proposed method, extensive computation experiments are conducted.