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- dynamic vehicle routing plan 动态车辆路径规划
- dynamic vehicle routing and scheduling 动态车辆路径与调度
- dynamic vehicle routing problem with time windows 带时间窗动态车辆路径问题
- Then, we applied LINGO to verify the vehicle routing planning results and satisfy the current situations' needs. 再者，本研究应用LINGO验证车辆途程规划之计算结果，以满足实务之现况需求。
- Analysis of the queuing model of dynamic vehicle routing problem 动态车辆路径问题排队模型分析
- Model for Vehicle Routing Plan with Mixed-Demand and Its Lasso Solution 混合运输需求的车队车辆路线规划模型及算法
- Algorithm of Dynamic Vehicle Routing Base on Microscopic Traffic Model 基于微观交通模型的动态路径规划
- Real -time Information Generation Algorithm for Dynamic Vehicle Routing Problem 动态车辆路径问题中实时信息生成算法
- Shortest Path Algorithm with Real Time Traffic Information in Dynamic Vehicle Routing Problem 动态车辆路径问题中的实时最短路径算法研究
- dynamic vehicle routing 动态车辆路径问题
- dynamic vehicle routing problem 动态车辆路径问题
- DVR( Dynamic Vehicle Routing) 动态路径规划
- The system has many functions, for example displaying ENC, making routing plan, recording marine data.These functions improve maritime safety. 它具有海图显示、计划航线设计、航行记录等许多功能，在很大程度上提高了水上航行的安全性。
- Vehicle routing planning 车辆路线安排
- The model includes dynamic management model of safety stock, distribution forecast model, vehicle matching problem (VMP) model based on road-net, and vehicle routing problem (VRP) model. 模型包括安全库存的动态管理模型、需求预测模型、基于路网的车辆配装模型和车辆路径问题(VRP)模型。
- Vehicle Routing Problem, or VRP, is a very important sub problem inborn in many distribution systems. 车辆路径问题(Vehicle Routing Problem，VRP)是物流运输研究领域内一个非常重要的问题。
- This problem is regarded as the Vehicle Routing Problem with Soft Time Windows (VRPSTW). 此类问题被称为软时窗汽车路线问题(Vehicle Routing Problemwith Soft Time Windows)。
- On the basis of describing the vehicle routing problem briefly，a new improved tabu search algorithm is presented. 摘要 简要回顾了车辆路径问题的禁忌搜索算法的发展现状，提出了一种改进的禁忌搜索算法。
- The near space high dynamic vehicle is a trans-aerosphere hypersonic weapon/launch vehicle,and posseses important military application values. 近空间(又称临近空间)高动态飞行器是跨大气层飞行的高超声速武器/运载器,具有重要的军事应用价值。
- Then an instance of vehicle routing problem (VRP) is put forward and solved to confirm their validity. 通过对蚁群算法的改进和调整，构造出最大-最小蚁群算法，实例验证该算法能更快地收敛到全局最优解。
