蚁群算法是近年来出现的一种新德仿生类进化算法[8]，它的基本原理源于昆虫学家们的观察和发现 -ant algorithms, which is the emergence of a new category of bionic Germany evolutionary algorithm [8] it stems from the basic tenets of the entomologist observed and found

智能优化算法集（PSO GA 蚁群 上帝算法等）-Intelligent optimization algorithms set (PSO GA the ant colony God algorithms, etc.)

基本的蚁群聚类算法，能够很好的进行聚类，方便对聚类算法的学生学习-Basic ant colony clustering algorithm, can be a good clustering, clustering algorithms facilitate student learning

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

continuous ACO. 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