Robust aspects of solutions in deterministic multiple objective linear programming

被引:35
作者
Georgiev, Pando Gr. [1 ]
Luc, Dinh The [2 ,3 ]
Pardalos, Panos M. [1 ,4 ]
机构
[1] Univ Florida, Dept Ind & Syst Engn, CAO, Gainesville, FL 32611 USA
[2] Avignon Univ, LMA EA2151, Avignon, France
[3] Vietnam Acad Sci & Technol, CIID, Hanoi, Vietnam
[4] Natl Res Univ, Higher Sch Econ, LATNA, Moscow 101000, Russia
关键词
Multiple objective linear problem; Robust efficient solutions; Radius of robustness; SENSITIVITY-ANALYSIS; OPTIMIZATION; TOLERANCE; STABILITY;
D O I
10.1016/j.ejor.2013.02.037
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We study questions of robustness of linear multiple objective problems in the sense of post-optimal analysis, that is, we study conditions under which a given efficient solution remains efficient when the criteria/objective matrix undergoes some alterations. We consider addition or removal of certain criteria, convex combination with another criteria matrix, or small perturbations of its entries. We provide a necessary and sufficient condition for robustness in a verifiable form and give two formulae to compute the radius of robustness. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:29 / 36
页数:8
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