自适应采样方法在船型优化中的应用
收稿日期: 2021-05-27
网络出版日期: 2022-08-16
基金资助
国家自然科学基金(51720105011);国家自然科学基金(51979211);高性能船舶技术教育部重点实验室开放基金(gxnc19051804);湖北省重点研发计划(2021BID008)
Application of Adaptive Sampling Method in Hull Form Optimization
Received date: 2021-05-27
Online published: 2022-08-16
欧阳旭宇, 常海超, 刘祖源, 冯佰威, 詹成胜, 程细得 . 自适应采样方法在船型优化中的应用[J]. 上海交通大学学报, 2022 , 56(7) : 937 -943 . DOI: 10.16183/j.cnki.jsjtu.2021.179
In order to handle the problem of complex and time-consuming simulation calculation in hull form optimization, the approximate model based on adaptive sampling has been widely used. In this paper, a maximum entropy (ME) adaptive sampling method based on uniform design (UD) is developed based on the Kriging approximate model and the leave-one-out (LOO) error method. Compared with the incremental Latin hypercube design (LHD) method, the adaptive sample distribution obtained by the proposed method are more uniform, and the accuracy of the global approximation model is higher. The proposed method is applied to the S60 hull form optimization, and the effectiveness is verified.
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