Obstacle location-allocation problem in stochastic environment

被引：0
|
作者：
Li, Xiaopeng [1 ]
机构：
[1] Tsing Hua Univ, Dept Math Sci, Beijing 100084, Peoples R China
来源：
Proceedings of the Fourth International Conference on Information and Management Sciences | 2005年 / 4卷
关键词：
stochastic programming; Obstacle Location-Allocation problem; simplex algorithm; genetic algorithm; Dijkstra algorithm; simulation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Obstacle location-allocation problem with stochastic demands is formulated as expected cost minimization model, alpha-cost minimization model and probability maximization model according to different criteria. For solving the models efficiently, the Dijkstra shortest path algorithm, simplex algorithm, simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm. Finally, some numerical examples are presented to illustrate the effectiveness of the proposed algorithm.
引用
收藏
页码：458 / 465
页数：8
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