%0 Journal Article
%T Artificial Immune Algorithm Based on Niche Technology and Cluster Analysis<br>基于小生境技术和聚类分析的人工免疫算法
%A HAO Xiao-Li
%A XIE Ke-Ming
%A <br>郝晓丽
%A 谢克明
%J 计算机科学
%D 2007
%I 
%X Due to premature convergence and low speed of latter convergence in conventional artificial immune algo- rithm,the new method is introduced in the paper which is improved artificial immune algorithm based on niche tech- nique and cluster analysis.Firstly niche technique with revolutionary recording is taken to initial population."exclusion mechanism"can maintain population diversity to avoid premature,and labeling evolution direction dynamically can im- prove convergence speed.Then cluster analysis is applied to obtain cluster areas nearby extremums.Different operators are taken in different areas respectively.Similar-taxis operator is employed to realize optimization within cluster areas, while dissimilation operator between them.Parallel searching in coarser and finer layer can ensure the speed and preci- sion of global optimization.Simulation shows that the improved algorithm has higher convergence speed,better capa- bility of global searching and better optimization precision.
%K Artificial immune algorithm
%K Niche
%K Cluster
%K Operator<br>人工免疫算法
%K 小生境
%K 聚类
%K 算子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A1F0CF4E9DFE312C&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=5E25104E99903E8A&eid=09E495F616948E78&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=5