Analysis of the Complex Self-Organization of An Ant Colony Clustering Algorithm

摘要：

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.

关键词： cluster K-means algorithm complexity entropy self-organization

作者: Yinghui Pan Jian Luo

作者单位: Automation Department XiaMen University FuJian, P.R. China

会议类型: 国际会议

会议名称: 2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)

会议地点: 上海

会议语种:英文

页码: 1635-1644

在线出版日期: 2007-10-19（万方平台首次上网日期，不代表论文的发表时间）