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
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;
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
DOI :
10.1109/ASC-ICSC.2008.4675326