A robust optimization based on adjoint variable method

HANDLE Open Access

Abstract

Purpose - This paper presents a new method to obtain robust solutions to electromagnetic optimization problems, solved with evolutional algorithms, which are insensitive to changes in design parameters such as spatial size, positioning and material constant. Design/methodology/approach - To the adjoint variable (AVM) method is employed to evaluate the sensitivity of individuals in evolutional processes. Findings - It is shown in the numerical examples where the present method is applied to optimization of a superconducting energy storage system and C-shape magnet that robust solutions are actually obtained which are insensitive to deviations in spatial sizes. Originality/value - Unlike usual optimization methods, the present method takes deviation in the design parameters due to production errors and long-term changes into account. Moreover, the present method is limited to about twice the computational cost of non-robust optimization methods.

Journal

Details 詳細情報について

  • CRID
    1050001202804068608
  • NII Article ID
    120002834733
  • HANDLE
    2115/44988
  • ISSN
    03321649
  • Text Lang
    en
  • Article Type
    journal article
  • Data Source
    • IRDB
    • CiNii Articles

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