• DocumentCode
    55576
  • Title

    Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design

  • Author

    Song Xiao ; Rotaru, Marius ; Sykulski, Jan K.

  • Author_Institution
    Electron. & Comput. Sci. (ECS, Univ. of Southampton, Southampton, UK
  • Volume
    49
  • Issue
    5
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    2057
  • Lastpage
    2060
  • Abstract
    The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered.
  • Keywords
    computational electromagnetics; electromagnetic devices; regression analysis; TEAM Workshop Problem 22; adaptive weighted expected improvement; electromagnetic devices; kriging assisted electromagnetic design; kriging surrogate modelling; rewards approach; Computational electromagnetics; design optimization; pareto optimization; topology;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2013.2240662
  • Filename
    6515070