2) vehicle scheduling
车辆调度
1.
Solution of Multi-Objective Vehicle Scheduling Model Based on Particle Swarm Optimization;
基于粒子群算法的多目标车辆调度模型求解
2.
Modelling and Solution to the Stochastic Model of Vehicle Scheduling in Commodity Delivery;
商品配送中车辆调度随机模型的建立及其求解
3.
Solving Method of the Optimization Problem of Logistic Distribution Vehicle Scheduling Based on Hybrid Genetic Algorithm;
基于混合遗传算法的物流配送车辆调度优化问题求解方法
3) vehicle routing problem
车辆调度
1.
Model and its genetic algorithm design of the vehicle routing problem with time windows for distribution center;
物流配送中心车辆调度模型与遗传算法设计
2.
Research and Simulation on Vehicle Routing Problem Based on Information Platform;
基于信息平台的车辆调度研究与仿真
3.
The large-scale vehicle routing problem was considered,and an integer programming mathematic model was proposed.
研究大规模物流配送车辆调度问题,提出其整数规划数学模型,把大规模配送车辆调度问题(VRP)转化为配送区域划分问题和单车线路优化问题2个子问题,用改进的基地启发式分区算法(ILBH)解决配送区域划分问题,运用混合遗传算法(GA+NS)解决分区域后区域内的配送车辆的单车线路优化问题。
4) Vehicle Dispatching
车辆调度
1.
Optimization Algorithm for Vehicle Dispatching of Logistics Distribution Center Based on Location Theory;
基于区位理论的物流配送中心车辆调度优化算法
2.
City delivery vehicle dispatching model and its algorithm;
城市配送车辆调度模型及算法设计
3.
Vehicle Dispatching System Based On GPS/BeiDou Satellite Technology Without Blind Area;
基于GPS/北斗卫星技术的无盲区车辆调度系统
5) vehicle dispatch
车辆调度
1.
Improved particle swarm optimization method to solve vehicle dispatching problem;
改进的粒子群优化算法求解车辆调度问题
2.
Moreover, the relevant mathematic model of vehicle dispatch is also given in this paper.
文章针对这类问题提出了一个调度算法来解决车辆派遣的问题,并在此基础上利用遗传算法给出车辆行驶的次优路径,给出了车辆调度相应的数学模
3.
Based on material transportation feature, the paper introduces the cluster analysis theory, and the method of making a ring route, sets up the vehicle dispatch model.
引入聚类分析方法，结合物料运输的特点，深入研究了环形路线的构造方法，给出了实施配车组线的运输车辆调度模型，通过仿真实例，证明了该模型的有效性。
6) vehicle scheduling problem
车辆调度
1.
Solving vehicle scheduling problem with non-full load by means of immune genetic algorithm;
求解非满载车辆调度问题的免疫遗传算法
2.
On Intelligent Optimization of Multi-Depots Vehicle Scheduling Problem;
多车场车辆调度智能优化研究
3.
Genetic algorithm for vehicle scheduling problem of non-full loads of single parking and single vehicle types restrained by time windows;
有时间窗约束单车场单车型非满载车辆调度问题的遗传算法
补充资料：随机数和伪随机数
随机数和伪随机数
random and pseudo-randan numbers
随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了，a如曰e”nce，口oc月卿成.以叹“c月a】 数亡。(特别，二进制数:。)，其顺序出现，满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的，前者由随机的装置来生成，而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质，这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O，l]上均匀分布的随机数亡。，尸(亡。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条