Simulation Optimization Based on the Hypothesis Testing and ITO Process

The ITO algorithm, which is a new kind of simulation optimization methods and is based on the hypothesis testing and Ito stochastic process, is proposed in this paper. The local strategies and global strategies can be utilized to design the ITO algorithm. The experimental results show that the ITO algorithm is suitable for the simulation optimization problems. The methods to improve the evaluation credibility in the simulation optimization are also discussed. Moreover, in this paper, the credibility based on the hypothesis testing is also proposed.