• DocumentCode
    3388745
  • Title

    Research on mixed optimization method with gradient-based Kriging approximation model

  • Author

    Xuan Ying ; Zhang Weihua ; Zhang Yulin

  • Author_Institution
    Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    10-12 Oct. 2008
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    Most optimization methods are based on gradient in which the objective and constrain functions are gained easily, the gradient-based Kriging (GBK) approximation model can be constructed by using system response value and its gradients. The gradients can greatly improve prediction precision of system response. The mixed optimization method is constructed by coupling GBK approximate models to gradient-based optimization methods. Both mathematics example and aircraft aerodynamics shape optimization design example testify the presented methods of this paper have good efficiency.
  • Keywords
    approximation theory; gradient methods; optimisation; statistical analysis; gradient-based Kriging approximation model; mixed optimization method; prediction precision; Aerodynamics; Aerospace engineering; Aerospace materials; Aircraft; Design optimization; Electronic mail; Mathematics; Optimization methods; Predictive models; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1786-5
  • Electronic_ISBN
    978-1-4244-1787-2
  • Type

    conf

  • DOI
    10.1109/ASC-ICSC.2008.4675326
  • Filename
    4675326