搜索资源列表
禁忌搜索解决vrp问题
- 利用禁忌搜索算法解决vrp问题的matlab源程序
遗传算法tsp
- 用matlab编写的GA求解vrp-车辆路径问题程序！
vrp的c++源码
- vrp的c++源码
VRP
- matlab的遗传算法程序，用于求解vrp问题
数据通信 TCP/IP VRP PPPoE
- 华为内部培训 数据通信 TCP/IP VRP PPPoE
VRP
- 用C++设计VRP问题，解决车辆路径问题
matlab版VRP问题
- matlab上解决VRP问题的算法
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- 智能蚂蚁算法——蚁群算法的改进 求解VRP问题 求解TSP问题-smart ant algorithm-- ant colony algorithm improvements for VRP for TSP
matlog
- 物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location Vehicle routing: VRP, VRP with time windows, traveling salesman
xyz
- 具有模糊旅行时间的VRP的一种混合遗传算法-fuzzy travel time of the VRP a mixed genetic algorithms
VRP
- 经典的粒子群算法（PSO），通过迭代搜索更新产生更优良的下一代解。供大家参考学习-classical PSO (PSO), through iterative search update produce the next generation better solution. For your reference learning
A-VRP-sol
- 使用jdom读入xml文件，一边读入一边存储在arraylist 里面-use jdom read into the xml document read into the side of the side storage inside the arraylist
GACode
- 一个用于自然数编码遗传算法的工具包indexGA，以及用这个工具包实现的车辆路径优化问题的算法例程-One for the natural number-coded genetic algorithm toolkit indexGA, and use this tool kit to achieve VRP algorithm routine
iga
- 应用遗传算法是被认为求解NP难题的有效手段之一,求解物流配送车辆路径优化问题时,在传统遗传算法的基础上,并引入了免疫算法的思想,实验结果表明该算法具有更好的全局和局部搜索能力和收敛速度,可有效地解决物流配送车辆路径优化问题。-Application of genetic algorithms to solve NP is considered an effective means of problem solving to optimi
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- 蚁群算法的matlab源码,该程序试图对具有31个城市的VRP进行求解，已知的最优解为784.1-Ant colony algorithm matlab source code, the program attempts to have 31 cities to solve VRP, known optimal solution for the 784.1
PSOvrp
- 利用粒子群算法求解VRP问题程序，其中和禁忌搜索算法结合成混合算法求解，-The use of particle swarm optimization procedure for solving VRP problems, including tabu search algorithm and combined into a hybrid algorithm,
Atabusearchalgorithmforthevehicleroutingproblem.ra
- 禁忌搜索算法解决VRP问题的论文,内有对车辆路径问题的简单综述,且对城市聚集情况有针对性的解决-Tabu search algorithm to solve the problem VRP papers, which have on the vehicle routing problem with a simple overview, and the situation of urban agglomerations have targ
antcolony
- 该程序试图对具有31个城市的VRP进行求解，已知的最优解为784.1，-The program attempts to have 31 cities to solve VRP, known optimal solution for the 784.1,
IndexGA
- 遗传算法解决vrp问题，很好的 遗传算法解决vrp问题，很好的-Vrp genetic algorithm to solve problems, good vrp genetic algorithms to solve problems, good
VRP
- 一个求解车辆路径问题的粒子群算法的源码，用C++编写。-Solving a vehicle routing problem with the particle swarm algorithm source code, using C++ Prepared.