%0 Journal Article
%T Improved particle swarm optimization based on Brownian motion<br>基于布朗运动的改进粒子群优化算法*
%A XU Xing
%A WU Yu
%A LI Yuan-xiang
%A <br>徐星
%A 吴昱
%A 李元香
%J 计算机应用研究
%D 2011
%I 
%X In order to improve the convergence rate of particle swarm optimization(PSO),with the inspiration of the Brownian motion and ITO process,this paper proposed a kind of hybrid algorithm,i.e.BMPSO,which mixed Brownian motion and PSO algorithm.It designed the drift operator and fluctuation operator by Abstracting Brownian motion and ITO process.The drift operator retained the position property of particle,but there was no speed attribute for particle of BMPSO,and also introduced the attractor concept.And then,t...
%K particle swarm optimization(PSO)
%K Brownian motion
%K ITO process
%K thermodynamics<br>粒子群优化算法
%K 布朗运动
%K 伊藤过程
%K 热力学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE072494FD335F2E61506&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=DF92D298D3FF1E6E&sid=E2AE6FE010839FF3&eid=270C3D88FF95CF50&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12