搜索资源列表
VVRPe
- 车辆路径问题的蚁群算法VRPP-2opt-vrp -Ant colony algorithm for vehicle routing problem VRPP-2opt-vrp
aco-yiquansuanfa-
- 车辆路径问题的蚁群算法，很好的一个学习蚁群算法的GA例子-The ant colony algorithm of vehicle routing problem, a learning example of ant colony algorithm GA
ACO
- 基于蚁群算法的机器人的路径规划问题蚁群算法，一种与传统的数学规划原理截然不同的，模拟自然生态系统以求解复杂优化问题(如NPC(NP Complete)类问题，典型的有TSP(Traveling Saleman Problem)问题)的仿生优化算法，因其较强分布式计算机制、鲁棒性、易于与其他方法相结合等优点，使得蚁群算法具有较广泛应用领域，为那些最优化技术难以解决的组合优化问题提供了一类新的切实可行的解决方案。从最初的一维的静态优化问题扩展到多维的动态组合优化问题，包括车辆路径规划，工程设计，电力
64142411VRP
- 本算法采用了基于蚁群算法的遗传算法对车辆进行调度，车辆能够找到最优路径，实现最短时间调度，实验验证了算法良好。(The algorithm uses a genetic algorithm based on ant colony algorithm to schedule the vehicle the vehicle can find the optimal path to achieve the shortest time scheduling experiments show that t
NewAntProject
- 经典蚁群算法,用来解决基于蚁群算法的一些生活应用，例如TSP,车辆路径等问题(The classical ant colony algorithm is used to solve some living applications based on ant colony algorithm, such as TSP, vehicle routing and so on.)
蚁群算法求解VRPTW问题matlab代码
- 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)
ACATSP
- 利用蚁群算法来解带时间窗的车辆路径问题，matlab编程(Using ant colony algorithm to solve vehicle routing problem with time window, matlab programming)