搜索资源列表
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)
chapter22
- 蚁群算法的优化计算——旅行商问题(TSP)优化(Optimization of ant colony algorithm -- traveling salesman problem (TSP) optimization)
ant
- 用java实现了蚁群算法，并增加了画图功能，算法经过了优化，用att48数据集（附件里有）最高得到10812分(java ant colony algorithm, with drawing function, the algorithm has been optimized, with the att48 data set up to 10812 points)
wurenji
- 地震后对复杂区域的划分等高图，然后判断无人机最优寻迹，优化蚁群算法(After the earthquake, the division of complex areas such as high map, UAV tour)
蚁群算法
- 路径规划是水下潜器智能控制的关键技术之一，其任务是在已知障碍物的环境中按照某一 最优指标寻找一条从起始点到目标点的无碰路径。使用蚁群算法对水下潜器三维空间路径规划问 题进行了研究，以 ACS 算法为基础设计了路径优化搜索算法，详细讨论了信息素表示方法、路径 点选取原则、启发式函数设计和信息素更新规则，给出了算法的具体流程，仿真实验结果表明， 该算法能够方便有效的实现三维空间中的路径规划。(Path planning is one of the key technologies of unde
ACASP.m
- 使用matlab验证蚁群算法的用例，动态寻路算法(Using MATLAB to verify the use case of ant colony algorithm, dynamic pathfinding algorithm)