搜索资源列表
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
Floyd
- 用来处理路径优化等问题的FLOYD等算法。
123tsp
- 粒子群优化算法求解车辆路径问题，对初学者来说，是很有帮助的。-Particle Swarm Optimization for vehicle routing problem, for beginners, it is very helpful.
salesman-fitness
- Matlab中路径优化程序，销售员模式，最佳路径优化-Medium Matlab path optimization procedures, sales model, the best path optimization
ant
- 蚂蚁算法求解路径优化问题就是求解有车辆约束问题的matlab程序，包括四个文件。-Ant algorithm for path optimization problems
115157698ant
- 路径规划中群蚁优化算法的源代码，可通过修改程序自由设置障碍和地形-Group of ants in the path planning optimization algorithm source code, modify the program free by obstacles and terrain
traveling_salesman
- 遗传算法 旅行商路径优化 编码选择交叉变异解码-Genetic algorithm optimization of traveling salesman path selection crossover and mutation encoding decoding
aca
- matlab中实现蚁群优化算法在30个城市中寻找一条最优路径。有说明文档。-Ant colony Optimization int matlab and provide a txt document which contains 30 city coordinate
matlab
- 蚁群算法路径优化，MATLAB环境下的PATH 最短路径仿真代码。-MATLAB , PATH OPTIMIZATION,MAX
yjwl
- 应急物流系统中的定位-路径优化-The positioning of emergency logistics system- path optimization!!!!!!
采用粒子群算法，有效解决车辆路径优化问题
- VRP的实现，采用粒子群算法，有效解决车辆路径优化问题-VRP realization using particle swarm effective solution to the VRP
基于Hopfield神经网络的旅行商优化计算
- 实现最短路径选择问题 运用MATLAB神经网络算法(Achieve the shortest path choice)
yiqun
- 可以通过修改.mat文件中的数据来实现路径优化问题(You can modify the data which in city_data.mat to resolve logistics paths optimization problems.)
astardemo
- 基于优化的A星算法的最优路径最短路径规划问题(A star algorithm and path planning)
蚁群算法的优化计算——旅行商问题(TSP)优化
- 路径优化 蚁群算法 tsp问题 优化设计(Path optimization TSP problem of path optimization ant colony algorithm)
针对自治水下机器人的路径规划问题进行了研究
- 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法(The path planning problem of autonomous underwater vehicle (AUV) is studied. According to the fuzzy control rules, a fuzzy path planning algorithm based on particle swarm optimization (PS
ACS3-1
- 最优路径问题，蚁群算法,仓储系统的货位拣选路径优化仿真(Optimal path problem, ant colony algorithm, optimization simulation of cargo location picking path for warehouse system)
111
- 用于求解带时间窗的多车场的配送路径优化问题，即vrp问题，算法是基于模拟退火算法和遗传算法的混合算法(The algorithm is a hybrid algorithm based on simulated annealing algorithm and genetic algorithm, which is used to solve the distribution path optimization problem of multi depot with time window)
VRP - 副本
- 用于求解配送路径优化问题，即vrp问题，算法是蚁群算法，优化目标为路线最短(It is used to solve the distribution path optimization problem, that is vrpentire. The algorithm is ant colony algorithm, and the optimization goal is the shortest route)
MATLAB
- 通过该模型求解带软时间窗的vrptw模型，得到车辆路径问题的最优解(By solving the VRPTW model with soft time window, the optimal solution of vehicle routing problem is obtained)