Solving Parameter Identification of Frequency Modulation Sounds Problem by Modified Adaptive Tabu Search under Management Agent
Jukkrit Kluabwang, Tatsana Thomthong · Procedia Engineering · 2012
This paper presents a new search algorithm namely MA(mATS) which has been composed by combining the magnagement agent (MA) with its three efficient mechanisms, partitioning mechanism (PM), sequencing mechanism (SM) and discarding mechanism (DM), with some search cores, modified adaptive tabu search algorithms (mATS). The original ATS consists of two key mechanisms, back-tracking mechanism (BT) and adaptive search radius mechanism (AR), and then by adding an adaptive neighbour mechanism (AN), it has a modified form namely mATS. The MA(mATS) has been applied to solve the frequency modulation sounds parameters identification problem (FMS). FMS has six dimensions and it is one of the interesting multimodal benchmarks. From simulation results, six units of mATS under MA have done very well in FMS by obtaining a high quality solution with the objective cost less than 0.001. It confirms that MA(mATS) is efficiently applicable to FMS as a new search algorithm.