• DocumentCode
    1520738
  • Title

    Accelerating Space Mapping Optimization with Adjoint Sensitivities

  • Author

    Khalatpour, Ali ; Amineh, Reza K. ; Cheng, Qingsha S. ; Bakr, Mohamed H. ; Nikolova, Natalia K. ; Bandler, John W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
  • Volume
    21
  • Issue
    6
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    280
  • Lastpage
    282
  • Abstract
    We propose a procedure for accelerating the space mapping optimization process. Exploiting both fine- and surrogate-model sensitivity information, a good mapping between the two model spaces is efficiently obtained. This results in a significant speed-up over direct gradient-based optimization of the original fine model and enhanced performance compared with other space mapping approaches. Our approach utilizes commercially available software with adjoint sensitivity analysis capabilities. It is illustrated through an example.
  • Keywords
    circuit optimisation; gradient methods; accelerating space mapping optimization; adjoint sensitivity analysis; direct gradient-based optimization; surrogate-model sensitivity information; Algorithm design and analysis; Integrated circuit modeling; Jacobian matrices; Mathematical model; Optimization; Sensitivity analysis; Solid modeling; Adjoint sensitivity analysis; aggressive space mapping (ASM); engineering optimization; implicit space mapping;
  • fLanguage
    English
  • Journal_Title
    Microwave and Wireless Components Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1531-1309
  • Type

    jour

  • DOI
    10.1109/LMWC.2011.2142396
  • Filename
    5771072