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- Title
基于Kriging模型的稳健参数设计.
- Authors
丁春风; 汪建均
- Abstract
For robust parameter optimization in complex engineering systems, a new sequential optimization design method based on Kriging surrogate model is proposed・ Firstly, the minimum predicted mean value of the Kriging model is used to replace the actual observed minimum response value to consider the noise. Secondly, the prediction variance of the addition criterion is modified to make it converge with sufficient sample volume・ Finally, the effectiveness of the proposed method is verified by classic low dimensional and high dimensional nonlinear numerical and engineering examples. The results show that the proposed method can obtain better global solutions with fewer addition times, and has stronger global optimization ability and robustness compared to existing traditional addition criteria.
- Subjects
GLOBAL optimization; ROBUST optimization; KRIGING; ENGINEERING systems; NOISE; ENGINEERING
- Publication
Systems Engineering & Electronics, 2023, Vol 45, Issue 7, p2269
- ISSN
1001-506X
- Publication type
Article
- DOI
10.12305/j.issn.1001-506X.2023.07.38