摘要
在对区域物流配送网络研究的基础上,针对物流配送的路径选择,提出利用人工神经网络对配送路线的优劣进行对比评价,并选择最优化的路线。通过应用人工神经网络处理物流数据,建立路径选择的模糊评价矩阵,能避免传统算法的不足,较为准确地对配送路线进行最优选择。通过仿真实验表明,基于神经网络的物流配送路径推理选择方法,能在众多的配送路径方案中选择最优化的方案,兼顾配送效率与运输成本之间的平衡,是一种有效的物流配送路径最优选择方法。
In this paper, on the basis of a study on the regional logistics distribution network, and in the view of the route selection in the logistics distribution process, we proposed to use the artificial neural network to compare and evaluate the distribution routes and select the optimal one. At the end, through a simulation experiment, we found that the deductive method in logistics route selection based on neural network is capable of isolating the optimal one from the distribution route solutions and reaching a balance between distribution efficiency and transportation cost.
出处
《物流技术》
北大核心
2013年第12期157-159,共3页
Logistics Technology
基金
高职软件技术校企合作人才培养模式的研究与实践(KT2011283)
关键词
神经网络
配送中心
物流配送路径
最优选择方法
neural network
distribution center
logistics distribution path
optimal selection method
