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FEASIBLE METHOD FOR SEMI-INFINITE PROGRAMS
Wang, Shuxiong; Yuan, Yaxiang
2015
发表期刊SIAM JOURNAL ON OPTIMIZATION
ISSN1052-6234
卷号25期号:4页码:2537-2560
摘要A new numerical method is presented for semi-infinite optimization problems which guarantees that each iterate is feasible for the original problem. The basic idea is to construct concave relaxations of the lower level problem, to compute the optimal values of the relaxation problems explicitly, and to solve the resulting approximate problems with finitely many constraints. The concave relaxations are constructed by replacing the objective function of the lower level problem by its concave upper bound functions. Under mild conditions, we prove that every accumulation point of the solutions of the approximate problems is an optimal solution of the original problem. An adaptive subdivision algorithm is proposed to solve semi-infinite optimization problems. It is shown that the Karush-Kuhn-Tucker points of the approximate problems converge to a Karush-Kuhn-Tucker point of the original problem within arbitrarily given tolerances. Numerical experiments show that our algorithm is much faster than the existing adaptive convexification algorithm in computation time.
关键词semi-infinite programs concave optimization adaptive subdivision algorithm
DOI10.1137/140982143
语种英语
资助项目NSFC[11331012] ; NSFC[11321061] ; NSFC[11461161005]
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000367019700023
出版者SIAM PUBLICATIONS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/21591
专题计算数学与科学工程计算研究所
通讯作者Wang, Shuxiong
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
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GB/T 7714
Wang, Shuxiong,Yuan, Yaxiang. FEASIBLE METHOD FOR SEMI-INFINITE PROGRAMS[J]. SIAM JOURNAL ON OPTIMIZATION,2015,25(4):2537-2560.
APA Wang, Shuxiong,&Yuan, Yaxiang.(2015).FEASIBLE METHOD FOR SEMI-INFINITE PROGRAMS.SIAM JOURNAL ON OPTIMIZATION,25(4),2537-2560.
MLA Wang, Shuxiong,et al."FEASIBLE METHOD FOR SEMI-INFINITE PROGRAMS".SIAM JOURNAL ON OPTIMIZATION 25.4(2015):2537-2560.
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