ON USING APPROXIMATIONS OF THE BENDERS MASTER PROBLEM

被引:14
作者
HOLMBERG, K
机构
[1] Department of Mathematics, Linköping Institute of Technology
关键词
MATHEMATICAL PROGRAMMING; MIXED INTEGER PROGRAMMING; BENDERS DECOMPOSITION; LAGRANGE MULTIPLIERS; HEURISTICS;
D O I
10.1016/0377-2217(94)90032-9
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper we study some approximate ways of solving the Benders master problem in Benders' decomposition. The applications of Lagrange duality and surrogate duality to the Benders master problem are found to be equivalent. We also find that the Lagrangean dual of the Benders master problem cannot yield better bounds than the (partial) Lagrangean dual of the original problem. Compared to solving the Benders master problem exactly, the approximations often yields worse bounds and a lack of controllability, which might prohibit the generation of necessary Benders cuts. For a MILP problem this might yield worse bounds than its LP relaxation. A convergence test originating from cross decomposition can be used to check the progress of a method using such approximations.
引用
收藏
页码:111 / 125
页数:15
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