文章基本信息

标题：Metamodel Assisted Robust Optimization under Interval Uncertainly Based on Reverse Model
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作者：Longchao Cao ; Ping Jiang ; Zhimin Chen 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：1178-1183
DOI：10.1016/j.ifacol.2015.12.291
语种：English
出版社：Elsevier
摘要：AbstractPrevious deterministic robust optimization approaches based on sensitivity region information usually involve nested optimization, leading to a significant burden in computational time. In this paper, a strategy to improve the computational efficiency of the robust approach based on reverse model, metamodel assisted robust optimization, in which the nested optimization structure is reduced into a single loop optimization structure, is studied. A numerical example is used to demonstrate the applicability of the proposed metamodel assisted robust optimization.
关键词：KeywordsRobust optimizationInterval uncertaintyReverse modelMetamodel