搜索资源列表
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0下载：
运用模拟退火算法求解带时间窗约束的车辆路径问题-The use of simulated annealing algorithm with time window constrained vehicle routing problem
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this code solves vehicle routing problem using simulated annealing algorithm in matlab.
in this code , we create different models and then evaluate them using SA algorithm.
one of the advantage of this code , is that code is splitting diff
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应用遗传算法针对物流配送车辆路径规划问题进行求解，使用MATLAB进行编程-Using genetic algorithm to solve the problem of logistics distribution vehicle routing problem, using MATLAB programming
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对物流配送问题的带时间窗车辆路径规划问题进行求解，使用matlab编程-To solve the problem of vehicle routing with time windows, which is used to solve the problem of logistics distribution, using MATLAB programming
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车辆路线问题（VRP）最早是由Dantzig和Ramser于1959年首次提出，它是指一定数量的客户，各自有不同数量的货物需求，配送中心向客户提供货物，由一个车队负责分送货物，组织适当的行车路线，目标是使得客户的需求得到满足，并能在一定的约束下，达到诸如路程最短、成本最小、耗费时间最少等目的。(The vehicle routing problem (VRP) was first proposed by Dantzig and Ramser in 1959, it refers to a cer
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车辆路径规划；遗传算法；matlab代码(Vehicle routing problem based on optimum maturation time method)
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禁忌搜索算法建议编程，车辆路径问题，以最短距离为目标(The tabu search algorithm recommends programming, vehicle routing problem, with the shortest distance as the target)
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车辆路径问题用遗传算法来求解，借助了matlab的程序代码(The vehicle routing problem is solved by genetic algorithm, with matlab program code.)
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8下载：
用于车辆路径问题优化，提高物流运输路线效率，节省成本(It can be used to optimize the vehicle routing problem, improve the efficiency of logistics transportation routes and save costs)
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2下载：
利用蚁群算法来解带时间窗的车辆路径问题，matlab编程(Using ant colony algorithm to solve vehicle routing problem with time window, matlab programming)
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3下载：
解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)
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