A method of Multidisciplinary Robust Collaborative Optimization

摘要：

Multidisciplinary Robust Collaborative Optimization has become an important part of Multidisciplinary Design Optimization field in the recent years.Not only does Multidisciplinary Design Optimization consider the optimization problem of each subdiscipline,but also consider the coupling problem to obtain the optimal solution of the system.To enhance the robustness of the algorithm during the Collaborative Optimization (CO) process,this paper proposes an uncertainty analysis method based on the System Uncertainty Analysis (SUA) and Implicit Uncertainty Propagation (IUP),and proposes a Robust Collaborative Optimization (RCO) method,to solve the robustness problem of CO algorithm and obtain the robust optimal solution.The RCO model is established through engineering example,and the effectiveness is proved by the analysis of result.

作者: Yuan Yuming Fan Wenhui Wang Wei Xiao Tianyuan

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）