Analysis of the complex self-organization of an ant colony clustering algorithm
Conference on Systems Science, Management Science and System Dynamics, 2007-10-19 ~ 2007-10-21, pp 1635-1644, 2007
In the ant colony clustering algorithm, the behavior of a single ant is simple while the cluster of ants shows complex behavior. In this paper, one kind of these algorithms-pheromone-based K-means algorithm is proposed and proved to be in the category of complex system. The characteristics of distribution and self-organized mechanism of ant colony system is analyzed deeply based on the principle of complex system for the enlightenment in the fields of management science.
cluster; K-means algorithm; complexity; entropy; self-organization