蚁群算法 适合寻找最优问题，实现最短路径。-Ant colony algorithm for finding the optimal problem, the realization of the shortest path.

该程序运用蚁群算法，具体为蚁群的寻路过程进行图像分割，针对普通图像跟MRI图像进行轮廓提取，效果不错，值得学习！-The program using ant colony algorithm, specifically for the colony s way-finding process of image segmentation, for the general outline of the image with the MRI image extraction, good results

基于改进的蚁群算法的机器人路径规划及壁障 能找寻最有路径-Improved ant colony algorithm based on robot path planning and barrier to finding the best path

In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. This algorithm is a member of the a

蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。 这种算法具有分布计算、信息正反馈和启发式搜索的特征，本质上是进化算法中的一种启发式全局优化算法。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dori