%0 Journal Article
%T Adaptive hybrid particle swarm optimization algorithm and application<br>一种自适应混合粒子群优化算法及其应用*
%A ZHANG Chao-long
%A JIANG Ju-lang
%A JIANG Shan-he
%A LI Qiang
%A <br>张朝龙
%A 江巨浪
%A 江善和
%A 李强
%J 计算机应用研究
%D 2011
%I 
%X To improve the performance of the particle swarm optimization(PSO) algorithm,this paper proposed an adaptive hybrid particle swarm optimization(AHPSO) algorithm based on simplex method(SM) and PSO.AHPSO could dynamically adjust the particle's inertia weight according to the search needs,used SM to enhance the search capability when meet searching stagnate.The simulations prove the AHPSO have better optimization performance than SPSO and SMPSO.Aero-engine PID controller tuning test prove AHPSO have the bette...
%K PSO(particle swarm optimization)
%K SM(simplex method)
%K fitness
%K inertia weight<br>粒子群
%K 单纯形
%K 适应度
%K 惯性权重
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=45B50C2AC1C54BD7C39062A8FC22A5C1&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=EB4751E019AF0441&eid=0D4B5ACF7B6A1D2C&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7