This paper deals with a discrete simulation optimization method for designing a complex probabilistic discrete event system. The proposed algorithm in this paper searches the effective and reliable alternatives satisfying the target values of the system to be designed through a single run in a relatively short time period. It tries to estimate an autoregressive model, and construct mean and confidence interval for evaluating correctly the objective function obtained by small amount of output data. The experimental results using the proposed method are also shown.
1. 서론
2. 기존 연구 고찰
3. 해 탐색 알고리즘
4. 실험 및 평가
5. 결론 및 추후 연구 과제
참고문헌