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1下载:
遗传算法解决车辆路径问题,用matlab解答,可以直接运行-Genetic algorithm can solve the vehicle routing problem
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这是一个用C++编写的vrp问题的源码,很适合初学者。-This is a C++ Prepared vrp source issues, it is suitable for beginners.
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这是基于matlab的通过遗传算法解决物流配送车辆路径问题-This is based on matlab by genetic algorithms to solve the logistics distribution vehicle routing problem
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多目标车辆路径算法matlab程序,号称是遗传算法,实际是启发式算法实现-Multi-objective vehicle routing algorithm matlab program, known as genetic algorithms, heuristic algorithm is actually
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蚁群算法,2-opt,解决车辆路径问题(vrp)的matlab代码,修正了原始代码忽略初始节点下一节点cost的问题,但是对某些测试数据集存在车辆数大于或小于的标准问题。-Ant colony algorithm ,2-opt, vehicle routing problem (vrp) matlab code, amended the original code ignores the initial node next node cost problems, but for some tes
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马氏过程的应用很广, 机器人路径计划, 自动飞行器导航,多目标跟踪, 电梯计划, 网络交换和路由, 银行客户保有等等。-Application of Markov process is broad, robot path plan, automatic vehicle navigation, multi-target tracking, lift plans, network switching and routing, bank customers to maintain and so on.
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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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matlab编程遗传算法代码,解决VRP车辆路径问题-Genetic algorithm matlab programming code to solve VRP Vehicle Routing Problem
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物流路径规划,通过MATLAB仿真,寻求最小代价将商品送到商店(Logistics path planning, through the MATLAB simulation, to find the minimum cost of goods sent to the store)
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模拟退火算法求解车辆路径问题的MATLAB代码(Simulated annealing algorithm for vehicle routing problem)
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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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基与遗传算法的动态规划,可以解决对于有时间窗约束的多目标车辆寻路问题(HUBThe dynamic programming of base and genetic algorithm can solve the problem of multi-objective vehicle routing problem with time window constraints)
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采用模拟退火算法求解车辆路径问题
(Using simulated annealing algorithm to solve the vehicle routing problem)
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蚁群算法的代码实现,主要是针对车辆路径优化VRP 问题的实现(The vehicle routing problem with ant colony optimization algorithm)
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基于带容量车辆约束问题算法MATLAB源码(MATLAB algorithm based on capacity constrained vehicle routing problem)
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采用matlab解决带时间窗的车辆路径规划问题,用了遗传算法(Using matlab to solve vehicle routing problem with time windows, using GA)
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利用蚁群算法求解车辆路径优化问题,实用的matlab代码(Using ant colony algorithm to solve vehicle routing optimization problem,Practical matlab 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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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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