Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (7): 2078-2085.doi: 10.12305/j.issn.1001-506X.2023.07.18

• Systems Engineering • Previous Articles     Next Articles

Supplemental experimental design method of qualitative-quantitative hybrid factor based on Gaussian process model

Lulu ZHANG, Zhengqiang PAN, Tianyu, LIU, Guang JIN   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2022-01-24 Online:2023-06-30 Published:2023-07-11
  • Contact: Zhengqiang PAN

Abstract:

To solve the problem that qualitative and quantitative factors exist simultaneously in naval air defense missile experimental design, a supplementary experiment design method based on the hybrid of qualitative and quantitative factors is proposed. Firstly, a qualitative-quantitative factor fusion evaluation model is constructed, and in order to solve the problem that it is hard for the qualitative and quantitative factor correlation functions to fuse in the model above, a hypersphere decomposition method is used to quantify the quantitative factor correlation function. Then, based on the prediction response model, the prediction variance exploration items are constructed. By funther calculating the prediction error of sample points, the exploration item is corrected to improve the development ability of supplementary experiment design. The best neighborhood is obtained by calculating the cross polyhedron ratio, and then the supplementary experiment points are determined in the best neighborhood by the genetic algorithm. Finally, the effectiveness of the proposed method is verified by numerical examples and case analysis.

Key words: qualitative-quantitative hybrid factor, supplemental experiment design, exploration-exploitation, best neighborhood

CLC Number: 

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