题名 | A perturbation approach for a type of inverse linear programming problems |
作者 | |
发表日期 | 2011 |
发表期刊 | International Journal of Computer Mathematics
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ISSN/eISSN | 0020-7160 |
卷号 | 88期号:3页码:508-516 |
摘要 | We consider an inverse linear programming (LP) problem in which the parameters in both the objective function and the constraint set of a given LP problem need to be adjusted as little as possible so that a known feasible solution becomes the optimal one. We formulate this problem as a linear complementarity constrained minimization problem. With the help of the smoothed Fischer-Burmeister function, we propose a perturbation approach to solve the inverse problem and demonstrate its global convergence. An inexact Newton method is constructed to solve the perturbed problem and numerical results are reported to show the effectiveness of the approach. © 2011 Taylor & Francis. |
关键词 | inexact Newton method inverse optimization linear programming perturbation approach quadratic convergence |
DOI | 10.1080/00207160903513003 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-79251500356 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6613 |
专题 | 北师香港浸会大学 |
通讯作者 | Xiao,Xiantao |
作者单位 | 1.School of Mathematical Sciences,Dalian University of Technology,Dalian 116024,China 2.Institute of Statistics and Computational Intelligence,Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,China |
推荐引用方式 GB/T 7714 | Jiang,Yong,Xiao,Xiantao,Zhang,Liweiet al. A perturbation approach for a type of inverse linear programming problems[J]. International Journal of Computer Mathematics, 2011, 88(3): 508-516. |
APA | Jiang,Yong, Xiao,Xiantao, Zhang,Liwei, & Zhang,Jianzhong. (2011). A perturbation approach for a type of inverse linear programming problems. International Journal of Computer Mathematics, 88(3), 508-516. |
MLA | Jiang,Yong,et al."A perturbation approach for a type of inverse linear programming problems". International Journal of Computer Mathematics 88.3(2011): 508-516. |
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