搜索资源列表
ACO_TSP
- 利用蚁群算法求解旅行商问题，求解100个城市的最短路程(Using Ant Colony Optimization to solve TSP problem)
ant
- 使用蚁群算法解决TSP问题的算法，主要利用蚁群算法特性。(Using ant colony algorithm to solve TSP algorithm.)
AntSystem-WithPlay
- 蚁群算法的matlab编程源代码，是一种用来在图中寻找优化路径的机率型技术。(It is a probabilistic technique for finding optimal paths in a graph.)
antcolony
- 简单的利用蚁群算法计算函数最大值或最小值(use ant colony algorithm to calculate the minimun and maximun of a function)
蚁群算法
- 模拟无人机空中规划寻迹，从起点出发，在经过途中必须经过的点后，回至起点，同时要避开障碍物(Simulated UAV aerial planning traces, from the starting point, after the way must go through the points, back to the starting point, while avoiding obstacles)
TSP_AS
- 基本蚁群算法用于解决tsp问题，保证可以运行，基本蚁群算法对于城市数非常敏感，过多的城市数会使运行实际急剧增加(Basic ant colony algorithm for solving TSP problems, to ensure that you can run, the basic ant colony algorithm is very sensitive to the number of cities, excessive number of cities will make th
TSP(AA)
- 从北京出发经过全部省会回到北京的TSP问题，蚁群算法求解(Starting from Beijing, the TSP problem is solved by ant colony algorithm after all the provincial capitals return to Beijing)
蚁群算法
- 完整蚁群算法实现三维山地路径规划，无bug(Three dimensional path planning based on ant colony algorithm)
ACATSP
- 利用蚁群算法解决tsp问题，给定各个位置的坐标，自动给出一条路径方案(Ant colony algorithm to solve the TSP problem, given the coordinates of each location, automatically gives a path scheme)
matlab 蚁群算法ACO_feature_selection
- 蚁群算法用与特征选择，针对传统蚁群聚类算法收敛速度过慢的问题，提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性，使聚类算法实验效果精度低和耗时大，将邻域特征选择与聚类算法结合，提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
基于蚁群算法的油罐变位识别与体积标定_刘丽华
- 基于蚁群算法的油罐变位识别与体积标定_刘丽华 用于数学建模(Oil tank displacement recognition based on ant colony algorithm with _ Liu Lihua volume calibration Used for mathematical modeling)
yiqun
- matlab求解TSP问题的蚁群算法基础代码，适合初学者入门学习使用(Matlab TSP algorithm for solving the ant colony algorithm based code, suitable for beginners to learn to use)
chapter22
- 蚁群算法的优化计算，属于求解TSP问题代码。(Ant colony algorithm for solving TSP code.)
ACA
- 绝对可运行的蚁群算法主程序，包含主程序及禁忌表(the main program of Ant colony algorithm absolutely can run)
yanshi
- 遗传算法与蚁群算法演示程序，打开软件，直接运行即可。(Genetic algorithm and ant colony algorithm demonstration program)
蚁群算法
- 蚁群算法求解旅行商问题，一个经典程序，可以求出较优解(ant colony algorithm)
AACO
- 应用结合逆风搜索的蚁群算法，实现fluent仿真环境下气味源定位(Using upwind search ant colony algorithm to realize odor source localization in fluent simulation environment)
ACATSP
- 通过使用蚁群算法对旅行售货商问题进行求解(Ant colony algorithm is used to solve the TSP problem)
蚁群算法TSP问题
- 典型的matlab求运行商问题，可以看到进化曲线和线路计算过程。(The typical matlab asks the operator problem, and you can see the evolution curve and the line calculation process.)
粒子群蚁群
- 粒子群算法例子，里面包含了详细的注释，并且有很高的移植性，易于新手学习。(an example for Particle swarm optimization with efficient remarks)