的个人主页 http://faculty.dlut.edu.cn/1992011039/en/index.htm
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论文类型:期刊论文
第一作者:Liu, Qiang
通讯作者:Xiao, XT (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian, Peoples R China.
合写作者:Wu, Jia,Xiao, Xiantao,Zhang, Liwei
发表时间:2018-09-01
发表刊物:JOURNAL OF NUMERICAL MATHEMATICS
收录刊物:SCIE
卷号:26
期号:3
页面范围:141-150
ISSN号:1570-2820
关键字:distributionally robust optimization; ambiguity set; tractable
optimization reformulation; smoothing Newton conjugate gradient method
摘要:We considers a distributionally robust optimization problem when the ambiguity set specifies the support as well as the mean and the covariance matrix of the uncertain parameters. After deriving a general deterministic reformulation for the distributionally robust optimization problem, we obtain tractable optimization reformulations when the support set is the whole space and when it is a convex polyhedral set. A hybrid method of Gurobi and a smoothing Newton conjugate gradient method is suggested to solve the tractable optimization problems and numerical results of the hybrid method for solving an illustrative example are reported.