%0 Journal Article
%T New Adaptive Particle Swarm Optimization Algorithm with Dynamically Changing Inertia Weight<br>一种动态改变惯性权重的自适应粒子群算法
%A REN Zi-hui
%A WANG Jian
%A <br>任子晖
%A 王坚
%J 计算机科学
%D 2009
%I 
%X A new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight(DCWPSO)was presented to solve the problem that the linearly decreasing weight(LDWPSO)of the Particle Swarm Optimization algorithm cannot adapt to the complex and nonlinear optimization process.The rate of cluster focus distance changing was introduced in this new algorithm and the weight was formulated as a function of this factor according to its impact on the search performance of the swarm.In each iteration proc...
%K 粒子群优化
%K 惯性权重
%K 聚焦距离变化率
%K 自适应
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17E0BBBE4C02D408B8EAD334B1AD3FE0&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=0B39A22176CE99FB&sid=0DEB7A8A66C33AAD&eid=F8035C8B7D8A4264&journal_id=1002-137X&journal_name=计算机科学&referenced_num=3&reference_num=8