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
Link To Document