搜索资源列表
VRP-considering-time-matlab
- 带运行时间限制的milk-run问题求解matlab程序，修改数据，可以自行调试。-Milk-run problem solving with the run time limit matlab program, change the data, you can debug their own.
ts
- 里面介绍的是使用禁忌搜索求解vrp，只要修改下数据就可以使用，用的是MATLAB写的-vrp MATLAB ts
matlab-VRP
- 物流路径规划，节约里程法的matlab实现-Logistics path planning, the MATLAB realization of the economical mileage method
VRP
- 使用蚁群算法求解VRP程序的一个较好的程序，Matlab源代码，包含过程文件-Using ant colony algorithm to solve VRP program of one of the better, the Matlab source code, containing process files
VRP
- 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
VRP_algorithm
- 5个求解车辆路径问题（VRP）的MATLAB算法源程序和相应数据（数据也在m文件里），包括三种遗传算法，SA算法和禁忌搜索算法的m文件-5 solving vehicle routing problem (VRP) MATLAB algorithm source and the corresponding data (data is also in the m file), including three kinds of genetic algorithm, SA algorithm and
161116093049-83531
- vrp matlab code in SA.
vrp
- 使用matlab编写遗传算法，解决车辆路径最优化问题-Using MATLAB to prepare the genetic algorithm to solve the vehicle routing optimization problem
VRP
- 引入路径权重的自适应蚁群算法用于应急物资调度路径优化的Matlab编码-Adaptive ant colony algorithm with path weight for Matlab coding of emergency material scheduling
MATLAB-VRP
- MATLAB-遗传算法-多车场-开放式-带时间窗-多商品-VRP问题-MATLAB- genetic algorithm- MultiDepot- open- with time windows- multi-commodity-VRP problem
matlab-code-vrp
- matlab code vrp using sa
遗传算法求解VRP问题的技术报告
- 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
matlab
- VRP SIMULATION ANNEALING
粒子群算法解决VRP代码（matlab）
- VRP/TSP模型，可以参考最小路径相关问题分析(VRP/TSP model, you can refer to the minimum path related problems analysis)
VRP
- 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)
蚁群算法
- 蚁群算法解决VRP问题的MATLAB代码(Ant Metaheuristic for VRP)
蚁群算法
- 利用蚁群算法实现VRP问题，本算法较为优良，有很好的时间效率(The realization of VRP problem using ant colony algorithm, this algorithm is more excellent, have a good time efficiency)
模拟退火
- 利用模拟退火算法实现VRP问题，此算法结果较为优良，对了解模拟退火算法有一定的借鉴意义(Using simulated annealing algorithm to achieve the VRP problem, the algorithm results are relatively good, to understand the simulated annealing algorithm has certain reference value)
manipulaformcocesss
- 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()
VRP模拟退火
- 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)