%0 Journal Article
%T Multi-particle swarm coevolution algorithm based on simulated annealing method<br>基于模拟退火机制的多微粒群协同进化算法*
%A LI Xue
%A LIU Hong
%A CHANG Liang
%A <br>李雪
%A 刘弘
%A 常亮
%J 计算机应用研究
%D 2009
%I 
%X Simulated annealing and multi-particle swarm coevolution algorithm are two helpful methods which can improve the performance of particle swarm optimization. This paper combined these two ideas and dervied a new algorithm, that was the multi-particle swarm coevolution algorithm based on simulated annealing method. Through the three criteria function optimization experiments show the efficiency of the algorithm, improving the stability of global optimization capability.
%K PSO(particle swarm optimization)
%K simulated annealing
%K multi-particle swarm coevolution<br>微粒群算法
%K 模拟退火
%K 多微粒群协同进化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=34A0C33D857C1A3CBB79528186216133&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=4F2F18DD6F870C2C&eid=B9704B40A4225A24&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=12