DocumentCode :
1428755
Title :
Sequential Subspace Optimization Method for Electromagnetic Devices Design With Orthogonal Design Technique
Author :
Lei, Gang ; Guo, Y.G. ; Zhu, J.G. ; Chen, X.M. ; Xu, W. ; Shao, K.R.
Author_Institution :
Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
48
Issue :
2
fYear :
2012
Firstpage :
479
Lastpage :
482
Abstract :
We present two new sequential optimization strategies, a sequential subspace optimization method (SSOM) and an improved sequential optimization method (SOM) with orthogonal experimental design technique, to deal with optimization design problems of electromagnetic devices in this work. To implement the proposed methods, we first divide the whole design factors into three sets, namely highly-significant, significant, and nonsignificant factors. Then the whole design space can be correspondingly divided into three subspaces with these three sets of factors. Thereafter, SSOM is presented to sequentially optimize those subspaces. In the subspace, we present an improved SOM based on orthogonal experimental design technique to get optimal solutions. Finally, by investigating TEAM benchmark problem 22, we can see that the sampling efficiency can be improved significantly and the computational cost of finite element analysis can be saved remarkably by the proposed methods.
Keywords :
electromagnetic devices; optimisation; electromagnetic devices design; improved sequential optimization method; optimization design problem; orthogonal design technique; orthogonal experimental design; sequential subspace optimization; Computational modeling; Electromagnetic devices; Integrated circuit modeling; Optimization methods; Sampling methods; US Department of Energy; Design of experiments; orthogonal design; sequential optimization method; sequential subspace optimization method;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2011.2173921
Filename :
6136728
Link To Document :
بازگشت