摘要
为提高复杂军用物资军用物质优化配置问题,而军用物质配送的核心是车辆调度问题。为此,在合理分析军用物质车辆调度问题的特性和模型基础上,将蚁群算法引入到其中解决该问题。实验表明,在带有时间窗的车辆路径问题上,该算法能够有效地提高解决收敛速度与精确度,更好地实现车辆调度的使用性。
In order to improve the complex military material military material allocation optimization problem,and the core of military physical distribution vehicle scheduling problem is.Therefore,in the analysis of military material reasonable vehicle scheduling problem characteristics and based on the model,the ant colony algorithm is introduced to solve the problem of the.Experiments show that,in the vehicle routing problem with time windows,the algorithm can effectively improve the convergence speed and accuracy,better use of the vehicle dispatching.
出处
《电子测试》
2015年第3X期126-129,共4页
Electronic Test
关键词
蚁群算法
军用物资
车辆调度
优化配置
ant colony algorithm
military supplies
vehicle scheduling
optimization
