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论文类型：会议论文

第一作者：Shi, Yanjun

合写作者：Wang, Xianchao,Zheng, Xiaojun

发表时间：2015-01-01

收录刊物：CPCI-S

卷号：21

页面范围：1397-1402

关键字：EBF-NN; RBF-NN; Kriging; NSGA-II; Mill housing; Surrogate models

摘要：Conventional engineering optimization design technology is often computational expense and highly time cost, thus we need to take approximation technique to speed up the design process and reduce design cost. We herein would introduce the close-top mill housing optimization model, take Optimal Latin Hypercube Sampling (OLHS) experimental design strategies to determine the sample, analyse the difference among EBF, RBF, Kriging surrogate model, introduce NSGA-II algorithm briefly and study the performance of method based on surrogate model and optimization algorithm.