PARAMETER IDENTIFICATION OF FREQUENCY MODULATION SOUNDS USING MODIFIED ADAPTIVE TABU SEARCH

摘要

This paper presents the use of the modified adaptive tabu search algorithms (mATS) for solving parameter identification problem of frequency modulation sounds (FMS). The FMS problem is multimodal and also hard to solve. Fortunately, the proposed mATS with adaptive neighbourhood mechanism, can do well. After many efforts, the proposed mATS approach obtained the better quality of the optimal solution than any other methods of previous works. This revealed that the proposed mATS algorithm is one of efficient methods for solving the parameter identification problem.