%0 Journal Article
%T Improved Character-Base Ant Colony Algorithm and Its Application<br>改进的种群分类蚁群算法及其应用
%A LIU Fang
%A LI Yi-Jie
%A <br>刘芳
%A 李义杰
%J 计算机系统应用
%D 2010
%I 
%X An improved Character-base Ant Colony Algorithm based on Character-base Ant Colony Algorithm and sentience consciousness characters is presented in this paper. It can significantly prevent precocity, then make a balance between accelerating convergence and averting precocity as well as stagnation. The algorithm is applied to clustering analysis and the algorithm steps of the model have been designed to illustrate the performance of the algorithm in this paper. The results of simulation on clustering analysis indicate that the new algorithm is feasible and effective.
%K ant colony clustering
%K Population Classification ant colony algorithm
%K Ant's sense and perceptual
%K K-means algorithm<br>蚁群算法
%K 聚类分析
%K 种群分类蚁群算法
%K 蚂蚁的感觉知觉性
%K K均值算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=C1B7089F4B8248AD3A598FA0E7323395&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=3986B25773CB6C30&eid=856C2E13D1000DB7&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7