%0 Journal Article
%T A Multi Sub-population Particle Swarm Optimizer Based on Clustering<br>基于聚类的多子群粒子群优化算法
%A GAO Ying
%A XIE Sheng-li
%A XU Ruo-ning
%A LI Zhao-hui
%A <br>高鹰
%A 谢胜利
%A 许若宁
%A 李朝晖
%J 计算机应用研究
%D 2006
%I 
%X On the basis of the particle swarm optimizer,A cluster-based particle swarm optimizer is proposed.In the proposed algorithm,the current particles is first divided into multi sub-population by clustering.Then,the current particles is updated by the personal best particle and gobal best particles in the sub-populations.The proposed algorithm exchanged and uses more particles' information,thus improves convergence performance.The experiment results demonstrate that the proposed algorithm is superior to original particle swarm optimization algorithm.
%K Particle Swarm Optimization
%K Clustering
%K Sub-population<br>粒子群优化算法
%K 聚类
%K 子群
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EDB6D481E4BE8C0C&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=E158A972A605785F&sid=1371F55DA51B6E64&eid=2001E0D53B7B80EC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=4&reference_num=7