提出了具有时间窗的货物运输车辆路径问题。
Transit vehicle routing problem with time intervals-constrained is considered.
车辆路径问题在物流管理的研究中受到大量关注。
In logistic management research, vehicle routing problem has gained a lot of attention.
第4章研究了随机旅行时间车辆路径问题的模型和算法。
In chapter 4, we research models and algorithms of vehicle routing problems with stochastic time.
建立了多约束条件车辆路径问题的数学模型和求解流程。
This paper established the mathematic model and solving flow of multi-restriction vehicle routing problem.
车辆路径问题和网络流问题都是非常著名的网络优化问题。
The VRP and the network flow problem are all famous network optimization problems.
研究车辆路径问题在物流配送系统中具有十分的重要意义。
Research on vehicle routing problem is of great importance in logistics distribution system.
提出一种解决随机需求车辆路径问题(VRPSD)新方法。
A new method is proposed for solving Vehicle Routing Problem with Stochastic Demands (VRPSD).
本文对具有同时配送和收集需求的车辆路径问题进行了研究。
The object of this paper is the vehicle routing problem with simultaneous pick-ups and deliveries.
本文重点研究了基于混合遗传算法求解有时间窗车辆路径问题。
Vehicle Routing Problem with Time Windows(VRPTW) is much more attractive for the great realistic meaning.
为节约物流配送费用，提出一类多约束条件下的多车场车辆路径问题。
In order to save logistic distribution costs, a multi-depots vehicle routing problem with multiple constraints(MDVRPMC)was proposed.
把该方法应用于有时间窗车辆路径问题，试验结果表明该算法是有效的。
The proposed algorithm was applied to the Vehicle Routing Problem with Time Window (VRPTW). The experiment results indicates that the new algorithm is effective.
铁路行包配送车辆路径问题属于同时具有送货和集货需求的车辆路径问题。
Vehicle routing problem on railway baggage and parcel is a problem of simultaneous delivery and pick up.
数值实验证明了库存路径问题得到的解要优于一般的车辆路径问题得到的解。
The numerical experiment has proved the value of Inventory Routing Problem whose total cost is much less than that of general Vehicle Routing Problem.
同时对突发事件和地震等不可抗力因素对邮件车辆路径问题的影响进行了分析。
The influence of uncontrollable factors, such as emergency and earthquake, on post VRP also has been analyzed.
关于车辆路径问题的研究，国内外已有不少专家进行过研究，但大都不令人满意。
On research of vehicle path problem, a lot of specialists have been in research for it in many countries, but few of result can make people satisfaction.
设计了求解车辆路径问题一种新的整数编码方案，并采用罚函数法处理约束条件。
A new integer-code method is adopted for the vehicle routing problem, and strained terms in VRP are processed by the penalty function.
传统的车辆路径问题只考虑物品装载的质量属性约束，而忽略其他装载属性约束。
In the classical vehicle routing problem, it considers the goods weight constraint only, but ignores other loading constraints, such as the loading space constraint.
首先，从车辆路径问题入手，介绍它的定义，分类，变量，以及其他一些相关情况。
First of all, starting from the vehicle route problem, we introduce its definition, classification, the variable, and some other relevant situations.
在分析热轧生产批量计划通用模型的基础上，采用了带有时间窗的车辆路径问题模型。
The VRPTW model that is suitable to resolve the problems of the production lot planning of the hot rolling strip is suggested.
本文应用现代物流中选址问题及配送车辆路径问题的理论，解决铁路行包物流配送问题。
The thesis resolves logistics delivery problem applying the location theory and VRP theory in modern logistics.
针对随机需求的多车辆路径问题（MVRPSD），提出了一种简单有效的重优化新算法。
Put forward a simply effective reoptimization algorithm for multiple vehicles routing problem with stochastic demand(MVRPSD).
实验主要包括两部分：对车辆路径问题和集送货一体化的车辆路径问题的数据集分别进行了测试。
They can be divided into two parts:experiments on vehicle routing problem and vehicle routing problem with simultaneous pickup and delivery.
论文主体部分主要对时间依赖网络车辆路径问题进行了分析研究，分为确定需求和动态需求两部分。
The main body of this paper researches TDVRP, which is made up with two parts—deterministic demands and dynamic demands. The first part analyzes the TDVRP with deterministic demand.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
A PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
A PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
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