B2C大件货物物流优化调度模型  

Optimization Model of Logistics Dispatching for Bulky Freight in B2C Environment

作　　者：黄永生 李玉光 张更路 

机构地区：[1]华北理工大学管理学院,河北唐山063000

出　　处：《物流技术》2015年第12期149-152,共4页Logistics Technology

基　　金：河北省教育厅优秀青年基金(SY13105)

摘　　要：通过形式化描述大件货物物流要素及物流方案,融合粒子群优化算法和Hamming神经网络,以成本优化为目标,构建B2C大件货物物流优化调度模型。模拟实验表明,该模型具有较高的计算效率和优化效果。In this paper, through the formal description of the logistics factors and the logistics scheme of the bulky freight, we targeted the cost optimization by establishing the logistics dispatching optimization model for the bulky freight in the B2C environment using the PSO and the Hamming neural network algorithms. The simulation results showed that this model could achieve high computational efficiency and improved the optimization effectiveness.

关 键 词：物流 B2C 大件货物 调度模型 HAMMING神经网络 粒子群优化算法 

分 类 号：F252[经济管理—国民经济] F724.6