%0 Journal Article
%T Dynamic neighborhood particle swarm optimization for constrained optimization problems<br>求解约束优化问题的动态邻域粒子群算法*
%A PENG Hu
%A TIAN Jun-feng
%A DENG Chang-shou
%A <br>彭虎
%A 田俊峰
%A 邓长寿
%J 计算机应用研究
%D 2011
%I 
%X Particle swarm optimization(PSO) for solving constrained optimization problems existed serious premature convergence,in order to inhibit this phenomenon,this paper proposed an improved constraint adaptive and dynamic neighborhood particle swarm optimization(IPSO).Algorithm used dynamic neighborhood strategy to improve the global search capability,and designed an improved adaptive constraint handling method.According to iteration number linear increase searched biases coefficient,in the early bias tended to ...
%K particle swarm optimization
%K dynamic neighborhood
%K constrained optimization
%K sequential quadratic programming<br>粒子群优化
%K 动态邻域
%K 约束优化
%K 序列二次规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE07252C9B8A4136FC9AE&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=DF92D298D3FF1E6E&sid=8B1A65A1F8CED536&eid=2768654D5F8E2AA3&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7