摘要
针对烟草物流车辆调度问题的实际情况构建带约束条件的数学模型,并使用遗传算法对其进行计算。在遗传算法中改进染色体基因编码,使遗传算法能更有效地解决物流企业的配送线路问题,从而提高配送速度、降低配送成本,增加企业的利润。
Transportation scheduling decision mode is established,which can construct the mathematic model with constraint for the vehicle routing problem of the actual situation of tobacco logistics and use genetic algorithms to calculate it.By using the improved chromosomal gene encodes,this algorithm can more effectively address the vehicle routing problem of logistics enterprises,thereby increasing the speed of delivery is improved,distribution costs is reduced.
出处
《工业控制计算机》
2015年第10期74-75,78,共3页
Industrial Control Computer
关键词
物流决策
遗传算法
运输调度
logistics decision
genetic algorithms
transportation scheduling
