1) heterogonous vehicle routing problem
多车型车辆路径
2) Multi-types vehicle routine problem
多车型车辆路径问题
3) multiple vehicles routing
多车辆路径
1.
Put forward a simply effective reoptimization algorithm for multiple vehicles routing problem with stochastic demand(MVRPSD).
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。
4) vehicle routing problem with multiple vehicle types
多类型车辆路径问题
1.
By far,all the studies are focused on the certain condition and the vehicle routing problem with uncertain parameter such as fuzzy or stochastic demand,but they haven t found the research on vehicle routing problem with multiple vehicle types and stochastic travel time.
到目前为止,所有这些研究都是针对确定环境下的车辆路径问题或不确定车辆路径问题中具有模糊或随机需求的问题,尚未发现有对随机行驶时间的多类型车辆路径问题进行研究。
2.
The vehicle routing problem with multiple vehicle types and fuzzy demand is analyzed,and the model of this kind of vehicle routing problem is established based on fuzzy possibility of fuzzy mathematics.
针对模糊需求信息条件下的多类型车辆路径问题进行了分析,运用模糊数学的可能性理论建立了该问题的优化模型,并利用遗传算法对问题进行求解。
5) vehicle routing
车辆路径
1.
Vehicle Routing Problem based on Connectivity Reliability;
基于连通可靠性的车辆路径问题
2.
Improved genetic algorithm research for vehicle routing problem;
车辆路径问题的改进遗传算法研究
3.
Vehicle routing problem with stochastic customers and demands based on the cross-entropy method;
基于交叉熵法解决随机用户和需求车辆路径问题
6) vehicle routing problem
车辆路径
1.
Multi-generation compete genetic algorithms for logistics distribution vehicle routing problem;
物流配送车辆路径问题多代竞争遗传算法
2.
Vehicle Routing Problem with Time Window Research Based on the Advanced Genetic Algorithm;
基于改进型遗传算法下时间窗约束车辆路径问题的研究
3.
A fuzzy programming model was built to optimize logistics distribution vehicle routing problem, where vehicle travel time and customer service time are fuzzy.
将实际的物流配送网络描述为由配送中心和顾客两类节点构成的不完全无向图,并采用模糊数表示车辆行驶时间和顾客服务时间的不确定性,建立了物流配送车辆路径优化的模糊规划模型。
补充资料：多路径效应
multipath
gps接收机所收到gps信号经由建筑物、水面或其它反射物表面反射抵达接收机天线的干扰信号。经反射的信号路径增长了，其伪距存在系统偏差，致使定位结果不准。
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