Robust Design Optimization and Improvement by Metamodel  

作　　者：Shufang Song Lu Wang Yuhua Yan 

机构地区：[1]School of Aeronautics,Northwestern Polytechnical University,Xi’an,710072,China

出　　处：《Computer Modeling in Engineering & Sciences》2020年第10期383-399,共17页工程与科学中的计算机建模（英文）

基　　金：The study is supported by the National Numerical Wind tunnel project(No.2019ZT2-A05);the Nature Science Foundation of China(No.11902254).

摘　　要：The robust design optimization(RDO)is an effective method to improve product performance with uncertainty factors.The robust optimal solution should be not only satisfied the probabilistic constraints but also less sensitive to the variation of design variables.There are some important issues in RDO,such as how to judge robustness,deal with multi-objective problem and black-box situation.In this paper,two criteria are proposed to judge the deterministic optimal solution whether satisfies robustness requirment.The robustness measure based on maximum entropy is proposed.Weighted sum method is improved to deal with the objective function,and the basic framework of metamodel assisted robust optimization is also provided for improving the efficiency.Finally,several engineering examples are used to verify the advantages.

关 键 词：Robust design optimization(RDO) METAMODEL maximum entropy robustness measure global sensitivity analysis 

分 类 号：TN9[电子电信—信息与通信工程]