• 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