%0 Journal Article
%T Modified attractive and repulsive particle swarm optimization<br>改进的吸引扩散微粒群算法
%A CHEN Bao-di
%A ZENG Jian-chao
%A <br>陈保娣
%A 曾建潮
%J 控制理论与应用
%D 2010
%I 
%X To avoid the premature convergence,based on the attractive and repulsive particle swarm optimizer(ARPSO),we propose a novel measure function for the population diversity,and a new concept of the particle's best flight direction.A modified ARPSO(MARPSO)is proposed by introducing a mutation strategy.Moreover,theoretical analysis has been made to prove that the algorithm can guarantee local convergence and global convergence.By comparing the simulation results of four classic testing functions with basic PSO(B...
%K particle swarm optimization
%K swarm diversity
%K particle's best flight direction
%K convergence<br>微粒群算法
%K 种群多样性
%K 微粒最好飞行方向
%K 收敛
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=D57936754002C9E6E080126364D635A0&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=9B95A71E6639C039&eid=522844664D9E629A&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=3