Study on multi-object optimization of logistics network based on genetic algorithm

被引：0
|
作者：
Liu, Qiang [1 ]
机构：
[1] Shandong Econ Univ, Sch Informat Management, Jinan 250014, Shandong, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
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：
Use the concept of stochastic flow network to describe transportation optimization problems upon logistic system. Select transportation reliability, transportation cost and time as objectives, build model of network flow optimization in logistic network. Take MPs as unit to build model, so model's complexity is decreased. Use NSGA-II algorithm to solve built model and obtain the Pareto solutions of optimization problem.
引用
收藏
页码：773 / 777
页数：5
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