摘要
为了探索动态规划求解多阶段物流网络设计方法,提出了基本物流网络模型和基本决策问题,并利用运输规划和组合遗传算法开展了研究。结果表明:利用运输规划求解小规模问题具有灵活、有效的特点,组合遗传算法随着规模的增大精度和效率提高。证明可以此为基础,进一步利用动态规划研究多阶段物流网络设计问题。同时研究了物流费用的规模经济问题,给出了仓储费用和运输费用的非线性计算公式,并成功应用到多阶段物流网络设计中。
A dynamic programming model was developed to design multi-stage logistics networks using a genetic algorithm GA. This article describes the structural model, the decision-making methods, and the transport planning methods. The results show that transport planning provides a flexible, effective method to design small logistics networks. The combined genetic algorithm improves the accuracy and efficiency for large networks. Therefore, dynamic programming can be used to design multi-stage logistics networks. The paper also presents a nonlinear expression for the storage and transport costs for optimizing the logistics economics which is successfully applied to a multi-stage logistics network design.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第11期1441-1444,共4页
Journal of Tsinghua University(Science and Technology)
关键词
动态规划
物流网络
物流费用
遗传算法
dynamic programming
logistics networks
logistics expense
genetic algorithms
