AUGMENTED LAGRANGIAN METHOD FOR RECOURSE PROBLEM OF TWO-STAGE STOCHASTIC LINEAR PROGRAMMING

被引:0
作者
Ketabchi, Saeed [1 ]
Behboodi-Kahoo, Malihe [1 ]
机构
[1] Guilan Univ, Dept Appl Math, Fac Math Sci, Rasht, Iran
关键词
two-stage stochastic linear programming; recourse problem; normal solution; augmented Lagrangian method; DECOMPOSITION;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the augmented Lagrangian method is investigated for solving recourse problems and obtaining their normal solution in solving two-stage stochastic linear programming problems. The objective function of stochastic linear programming problem is piecewise linear and non-differentiable. Therefore, to use a smooth optimization methods, the objective function is approximated by a differentiable and piecewise quadratic function. Using quadratic approximation, it is required to obtain the least 2-norm solution for many linear programming problems in each iteration. To obtain the least 2-norm solution for inner problems based on the augmented Lagrangian method, the generalized Newton method is applied.
引用
收藏
页码:188 / 198
页数:11
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