COLLABORATIVE OPTIMIZATION FOR MULTIDISCIPLINAR SYSTEMS UNCERTAINTY ANALYSIS

摘要

This paper proposes a method based on collaborative optimization framework to evaluate the uncertainty in a multidisciplinary design process. This proposed method analyzes and optimizes all subsystems simultaneously using a Collaborative Optimization (CO) that reduces the computational cost at the MPP searching as well as in the systemlevel optimization. The computational saving maybe even more significant for largescale system designs. Finally, example from the proposed method is presented and discussed.