%0 Journal Article
%T Particle Swarm Optimization Based on Number-theoretic Method<br>基于数论方法的微粒群算法
%A MI Li-Bo
%A TAN Li-Wei
%A <br>米利波
%A 谭立伟
%J 计算机科学
%D 2008
%I 
%X An improved particle swarm optimization algorithm is proposed. Number-theoretic method is used to initialize the particles' position. The particle locates on the current global minimum is re-initialized during the algorithm. In the end the result of PSO is fined by a method named creeping algorithm. The experiments manifest that the improved algorithm can get the better results.
%K Number-theoretic method
%K Particle swarm optimization
%K Optimizing<br>数论网格法
%K 微粒群算法
%K 最优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B55F11DECC767E34E228AD944C1AF041&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=EB552E4CFC85690B&eid=2DBBF45CC176713E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9