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用GA遗传算法求解VRP车辆配送问题，以及VRP的特殊情况TSP旅行商问题,GA Genetic Algorithm for VRP with the distribution of vehicles, as well as the special circumstances of VRP Traveling Salesman Problem TSP
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遗传算法求解物流配送中带时间窗的VRP问题-Distribution of genetic algorithm the VRP problem with time windows
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本文通过遗传算法解决基本的无时限车辆调度问题。采用车辆和客户对应排列编码的遗传算法，通过种群初始化，选择，交叉，变异等操作最终得到车辆配送的最短路径。通过MATLAB仿真结果可知，通过遗传算法配送的路径为61.5000km,比随机配送路径67km缩短了5.5km。此结果表明遗传算法可以有效的求解VRP问题。(In this paper, genetic algorithm is used to solve the basic vehicle scheduling problem without
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该历程使用Matlab 遗传算法 解决多辆车，的有容量多路径规划问题(The Matlab genetic algorithm is used to solve the capacity multi path planning problem of multiple vehicles)
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遗传算法，用了学习和交流，希望大家一起交流学习(Genetic algorithm, learning and communication)
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利用遗传算法实现VRP问题，本算法有较好的时间效率，同时产生了比较不错的结果，请大家批评指正(Using genetic algorithm to achieve VRP problem, the algorithm has better time efficiency, and produced relatively good results, please criticize and correct)
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利用遗传算法实现VRP问题，将车辆路径问题规划的较为详细，算法较为良好(The genetic algorithm is used to solve the VRP problem, and the vehicle routing problem is more detailed and the algorithm is better)
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遗传算法的车辆路径研究，实现的是配送路径最短(Genetic algorithm of vehicle routing research, the realization of the shortest delivery route)
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遗传算法解决VRP问题，有数据，程序简单易懂(Solving VRP problem by genetic algorithm)
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基于遗传算法的车辆路径问题求解。本文件夹奥阔修改后的遗传算法实例代码 保证可用 （适合初学者和小白）(The problem of vehicle routing problem based on genetic algorithm is solved. This folder Aokuo modified genetic algorithm code examples to ensure that available (for beginners and white))
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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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使用遗传算法求解vrp问题，使用matlab编程(Using Genetic Algorithm to Solve the Problem of vrp)
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VRP,遗传算法的路径优化问题，车辆调度问题的MATLAB实现(VRP,Path optimization problem of genetic algorithm,MATLAB implementation of vehicle scheduling problem.)
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遗传算法求解求解vrp问题，以送货问题为算例，已知送货量和距离矩阵。(Genetic algorithm for solving VRP Problem)
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MATLAB遗传算法解决VRP问题，不带时间窗的简单模型(MATLAB genetic algorithm to solve VRP problem)
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遗传算法求解vrp问题，单场库，多车型，实现车辆路径的选择，可用(Genetic algorithm can solve VRP Problem.)
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采用遗传算法，求解vrp问题（路径规划问题）(solve vrp with GA. Using genetic algorithm to solve VRP (path planning problem))
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用于求解带时间窗的多车场的配送路径优化问题，即vrp问题，算法是基于模拟退火算法和遗传算法的混合算法(The algorithm is a hybrid algorithm based on simulated annealing algorithm and genetic algorithm, which is used to solve the distribution path optimization problem of multi depot with time window)
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用遗传算法求解带模糊时间窗的VRP问题，注释清晰明了，新手友好(Genetic algorithm for VRP with fuzzy time window)
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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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