RETRACTED: A Stochastic Model and Algorithm for the Facility Location Problem (Retracted Article)

被引：0
|
作者：
He, Fangguo [1 ]
Dai, Kuobin [1 ]
机构：
[1] Huanggang Normal Univ, Coll Math & Informat Sci, Huanggang, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 7 | 2010年
关键词：
Stochastic optimization; Facility location problem; Lagrangian relaxation; ANT-COLONY-SYSTEM; SOLVE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The facility location problems have been applied extensively in practice. We describe a facility location problem with stochastic demand based chance-constrained programming model, and formulate an approach to conversion of the chance constraints to their respective deterministic equivalents. A Lagrangian relaxation approach using subgradient algorithm is adopted and designed for the equivalent model. The performance of the proposed method is tested by a numerical experiment, and show the effectiveness of the proposed algorithm.
引用
收藏
页码：359 / 362
页数：4
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