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1)  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。
2)  Multi-types vehicle routine problem
多车型车辆路径问题
3)  Multi-depot Vehicle Routing Problem
多车场车辆路径问题
1.
A Scatter Search Algorithm for Multi-depot Vehicle Routing Problem
求解多车场车辆路径问题的分散搜索算法
4)  MDVRP
多中心车辆路径问题
1.
Multi-Depot vehicle Routing Problem ( MDVRP ) is one of the complicated combi-natorial optimization problems.
多中心车辆路径问题( MDVRP )是一个复杂的组合优化问题,其复杂性甚于车辆路径问题( VRP ),该问题在现实生活中普遍存在,与人们的生活息息相关。
5)  vehicle routing problem(VRP)
车辆路径问题
1.
A novel hybrid particle swarm optimization(PSO) algorithm for vehicle routing problem(VRP) was proposed.
将粒子群优化算法与模拟退火算法结合,提出了一种求解车辆路径问题的混合粒子群算法。
2.
This paper presents several typical models of vehicle routing problem(VRP),and gives the today s different heuristic algorithms,and summarizes advantage or disadvantage of these algorithms, and then indicate that the research area of VRP will extend to supply chain s aspect.
本文阐述了车辆路径问题(VRP)的几种典型的模型和常见算法,分析了这些算法用于计算车辆路径问题的优缺点,并指出了VRP的研究范围还需向范围更广的供应链方向扩展。
3.
The vehicle routing problem(VRP)with capacity restrictions was described.
描述了带有能力约束的车辆路径问题(VRP),在预先不固定车辆数的情况下,把聚类和排序有机地结合起来,并用遗传算法和3opt算法相结合的混合算法对问题进行求解,实验结果表明算法获得的最好解、平均负荷率和计算成本都比较令人满意
6)  vehicle routing problem
车辆路径问题
1.
A genetic algorithm for the open vehicle routing problem with soft time windows;
求解带软时间窗的开放式车辆路径问题的遗传算法
2.
Modified NSGAII algorithm for vehicle routing problem in logistics;
基于NSGA Ⅱ的物流配送中车辆路径问题研究
3.
Heuristic genetic algorithm of vehicle routing problem with time windows;
带时间窗车辆路径问题的启发式遗传算法
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。

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