摘要
本文将能够反映物流配送城市交通状况的时间指标和速度指标融合到经典的车辆路径优化模型中,以提高物流配送模型对实际配送环境的动态拟合。分别利用GAMSC算法和GAFVRPTW算法分别对经典的车辆路径优化模型进行仿真,结果表明:改进的物流配送模型能够根据实际交通状况更有效地解决物流配送问题。
In this paper, some indicators that can reflect the traffic condition of cities are added into the mostly used vehicle routing model to improve the application result in practical situation. And then simulation experiments are carried respectively by GAMSC model and GAFVRPTW model. Experimental results demonstrate that the improved model can solve the logistic distribution problem more effectively according to the traffic condition.
出处
《价值工程》
2012年第5期29-31,共3页
Value Engineering
关键词
物流
车辆选径
遗传算法
时间度量
logistics
vehicle routing
genetic algorithm
time dimension
