%0 Journal Article
%T Adaptive chaos particle swarm optimization based on colony fitness variance<br>基于群体适应度方差的自适应混沌粒子群算法*
%A DONG Yong
%A GUO Hai-min
%A <br>董勇
%A 郭海敏
%J 计算机应用研究
%D 2011
%I 
%X All existing chaos particle swarm optimization algorithm(PSO) uses Logistic chaos,but the uniformity and rando-mization of the sequence come from the Logistic chaos are not enough,it influences the algorithm's performance.This paper suggested introducing An chaos into PSO,An chaos had better uniformity,using An chaos to initialize the particle swarm's position and velocity,and using the colony fitness variance's variation to start the substitution of part partial particle,to improve the performance.The resu...
%K chaos
%K uniformity
%K particle swarm optimization (PSO)
%K fitness variance
%K convergent percentage<br>混沌
%K 均匀性
%K 粒子群算法
%K 适应度方差
%K 收敛比率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9D2923ED70D94A173148A7B281557820&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=8D95DD1211171525&eid=353B961D86F026C0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18