模拟退火算法求解VRP问题 车辆路径问题Matlab程序
资源文件列表:

VRP-using-SA-with-Matlab-master/
VRP-using-SA-with-Matlab-master/.gitignore 10B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/
VRP-using-SA-with-Matlab-master/SA_VRP_Points/calculateCost.m 264B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/createNeibor.m 1.04KB
VRP-using-SA-with-Matlab-master/SA_VRP_Points/hk48.tsp 9.97KB
VRP-using-SA-with-Matlab-master/SA_VRP_Points/initModel.m 963B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/isFeasible.m 319B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/plotSolution.m 764B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/randomSol.m 79B
VRP-using-SA-with-Matlab-master/SA_VRP_Points/sa.m 1.32KB
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/calculateCost.m 264B
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/createNeibor.m 1.04KB
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/createNeibor.m~ 778B
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/hk48.tsp 9.97KB
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/initModel.m 355B
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/isFeasible.m 319B
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/randomSol.m 79B
VRP-using-SA-with-Matlab-master/SA_VRP_tspInstance/sa.m 1022B
VRP-using-SA-with-Matlab-master/readme.md 4.02KB
资源介绍:
车辆路径问题(Vehicle Routing Problem,VRP)是一个经典的组合优化问题,涉及如何有效地分配车辆去访问多个客户点,并在满足约束条件的情况下最小化总行驶距离或成本。 假设有5个客户需求点和2辆车,每辆车的容量都足够大,可以服务所有客户。客户点之间的距离如下: - 客户点1到客户点2的距离为5 - 客户点2到客户点3的距离为6 - 客户点3到客户点4的距离为7 - 客户点4到客户点5的距离为8 - 客户点5到客户点1的距离为9 - 车辆起始点(仓库)到每个客户点的距离分别为:仓库到客户点1为10,仓库到客户点2为12,仓库到客户点3为15,仓库到客户点4为6,仓库到客户点5为8。 随机生成两个初始解,例如:路径1: 客户点1 → 客户点2 → 客户点3 → 客户点4 → 客户点5,路径2: 仓库 → 客户点1 → 客户点2 → 客户点3 → 客户点4 → 客户点5。计算总距离:路径1为26,路径2为42。 在每次迭代中,对当前解进行扰动产生新解。扰动可以通过交换、插入或反转操作实现。



