Utilizing Kriging Surrogate Models for Multi-Objective Robust Optimization of Electromagnetic Devices

被引：72

作者：

Xia, Bin ^{[1
]}

Ren, Ziyan ^{[1
,2
]}

Koh, Chang-Seop ^{[1
]}

机构：

[1] Chungbuk Natl Univ, Coll Elect & Comp Engn, Chungbuk 361763, South Korea

[2] Shenyang Univ Technol, Sch Elect Engn, Liaoning 110870, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2014年 / 50卷 / 02期

关键词：

Kriging surrogate model; multi-objective robust optimization; TEAM; 22; worst case scenario; GLOBAL OPTIMIZATION; GRADIENT-INDEX; UNCERTAINTIES; ALGORITHM;

D O I：

10.1109/TMAG.2013.2284925

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a multi-objective robust optimization strategy assisted by the surrogate model. In order to guarantee the accurate response prediction, the performances of three different Kriging surrogate models, ordinary Kriging, first-order universal Kriging (UK), and second-order UK, are investigated through analytical benchmark functions. Once the accurate model is constructed, the performance analysis can be efficiently approximated during optimization process. Furthermore, the robustness against uncertainty is evaluated by the worst-case scenario through applying optimization technique to the approximated model in the uncertainty set. The proposed algorithm is validated through one electromagnetic application, a robust version of the TEAM 22.

引用

页码：693 / 696

页数：4