%0 Journal Article
%T Particle swarm optimization with flying time adaptively adjusted<br>飞行时间自适应调整的粒子群算法
%A ZHANG Jian-ke
%A LIU San-yang
%A ZHANG Xiao-qing
%A <br>张建科
%J 计算机应用
%D 2006
%I 
%X To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm. The flying time of every particle in this algorithm was adaptively adjusted in pace with addition of the evolutionary generations; Thus, the algorithm overcomes the difficulty of the traditional PSO that the searching ability of particle is decreasing during the later time of iteration, which is caused by that the flying time of every particle is fixed on one. Numerical results show that this algorithm is of advantage to accelerate convergence and improve calculation accuracy.
%K Particle Swarm Optimization(PSO)
%K evolutionary computation
%K optimization<br>粒子群算法
%K 进化算法
%K 优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8BE0F34FBC8C590E&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=75359DB37CA6AEF5&eid=BFBBE640BA5811AE&journal_id=1001-9081&journal_name=计算机应用&referenced_num=5&reference_num=10