An Efficient Approach for Uncertainty Analysis in Multidisciplinary Design Optimization

Abstract. In this paper, an efficient multidisciplinary design optimization method based on evidence theory is proposed. Evidence theory is used to quantify uncertainty in terms of uncertainty measures of belief and plausibility. Since uncertainty measures provided by evidence theory are discontinuous functions, the response surface is utilized to obtain smooth functions so that the traditional gradient-based algorithms can be used in optimization