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蚁群算法在物流运输车辆调度中的应用
引用本文:王冬冬.蚁群算法在物流运输车辆调度中的应用[J].交通标准化,2010(21):107-108.
作者姓名:王冬冬
作者单位:陕西职业技术学院,陕西西安710100
摘    要:现代物流运输车辆调度过程复杂多变,将蚁群算法引入物流车辆调度,可优化车辆优化调度算法。实践证明,该算法是一个非常有效的解决组合优化问题的工具,在一定程度上加快了进化进程。

关 键 词:蚁群算法  物流运输  车辆调度  时间窗

Application of Ant Colony Optimization in Logistics Transportation Vehicle Scheduling
WANG Dong-dong.Application of Ant Colony Optimization in Logistics Transportation Vehicle Scheduling[J].Communications Standardization,2010(21):107-108.
Authors:WANG Dong-dong
Institution:WANG Dong-dong(Shaanxi Vocational & Technical College,Xi'an 710100,China)
Abstract:The process of logistics transportation vehicle scheduling is complicated and changeable.Introducing ant colony optimization into to vehicle scheduling,the arithmetic of vehicle scheduling can be optimized.Ant colony optimization is proved by practice to be a very effective means for solving optimizing combination problems,which accelerates the process of evolution.
Keywords:ant colony optimization  logistics transportation  vehicle scheduling  time window
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