文章基本信息

标题：A novel sequential exploration-exploitation sampling strategy for global metamodeling
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作者：Ping Jiang ; Leshi Shu ; Qi Zhou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：532-537
DOI：10.1016/j.ifacol.2015.12.183
语种：English
出版社：Elsevier
摘要：AbstractSampling strategy has direct impact on the accuracy of metamodel. In this paper, we propose a novel sequential exploration-exploitation sampling strategy for global metamodeling. A new criterion is proposed to focus on characteristic of output space. Space-filling requirement is treated as a constraint to avoid clustered sample points. The methodology developed in this paper is compared to existing methods using an analytic numerical case with two inputs. The results indicate that the proposed approach achieves the more desired accuracy of metamodel than the other approaches.
关键词：Keywordsmetamodelingoptimal experiment designsampling strategymetamodel accuracycharacteristic of output space