Study on the location of distribution center: A genetic algorithm combining mechanism of simulated annealing

被引：0

作者：

Cui, GB ^{[1
]}

Li, YJ ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Management, Harbin 150006, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

distribution center; location; genetic algorithm; simulated annealing algorithm; mixed; parallel;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The location of distribution center (DC) is one of the most important decision issues for logistics managers. In this paper, 0-1 mixed integer linear programming model of location of distribution center of tow-stage logistics chain network is given. The design tasks of this problem involve the choice of distribution center to he opened and the optimal assignment of product flow between suppliers and customers via distribution centers to meet the demand with minimum cost. As the solution method, a genetic algorithm combining mechanism of simulated annealing that is proved effective in dealing with the NP-hard problem is proposed.

引用

页码：2601 / 2606

页数：6

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