本文在研究物流配送车辆优化调度问题的基础上，对有时间窗的车辆优化调度问题进行了分析。
This text has been researched to the vehicle-scheduling problem with time window on the basis of researched to logistic vehicle scheduling problem.
本文在建立物流配送车辆优化调度数学模型的基础上，构造了求解该问题的免疫算法，并进行了实例计算。
On the basis of establishing the optimizing model on logistic vehicle routing problem, this paper presents a Immune algorithm for saving this problem, and makes some experimental calculations.
配送车辆优化调度问题是一类求解较难的组合优化问题，由于其NP难特性，采用精确优化方法有一定的局限性，不能得到令人满意的结果。
Logistic vehicle routing problem is combination optimization that is difficult to solve. Due to its NP characteristics, we can't get satisfying results when we use exact approaches.
本文从客户满意度的角度出发，在对物流配送介绍的基础上，针对车辆调度问题进行了优化探讨。
In the view of satisfaction of customers, at the base of introduction of physical distribution, this article discusses vehicle scheduling problem thoroughly.
针对物流配送中的多车场车辆调度问题提出了两种多车场的智能处理方法，并且用禁忌算法优化了容量约束的多车场VSP问题。
This paper presents two kinds of intelligent methods for multi-depots vehicle scheduling problem(MDVSP), and uses Tabu Search algorithm(TS) to optimize MDVSP with weight limit.
物流配送合理化的一个重要方面就是对配送车辆调度进行优化。
One of important aspects of logistics rationalization is to optimize vehicle scheduling.
配送车辆调度系统优化是物流配送系统优化的重要内容之一。
The optimization of delivery vehicle dispatch system is one important part of the optimization of the physical distribution system.
车辆路径问题是一类在物流配送调度中具有广泛应用的组合优化问题，属于强np难题。
Vehicle Routing problem (VRP) is a combination optimization problem in transportation logistics, which has been applied in many fields. It is a strong NP problem.
根据多相粒子群并行搜索的思想，给出mpso算法在带软时间窗物流配送车辆调度路径优化的实现流程。
By means of the idea of parallel search, the detailed procedure of the MPSO algorithm is given for solving vehicle scheduling problem with soft time Windows.
物流配送车辆调度优化是物流配送系统优化中关键的一环。
Whereas, the optimization of vehicle planning of the distribution system is a key part of the whole system.
物流配送车辆调度优化是物流配送系统优化中关键的一环。
Whereas, the optimization of vehicle planning of the distribution system is a key part of the whole system.
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