%0 Journal Article
%T Effective optimization algorithm for multimodal functions<br>一种有效的多峰函数优化算法
%A LI Li
%A LI Hong-qi
%A XIE Shao-long
%A <br>李莉
%A 李洪奇
%A 谢绍龙
%J 计算机应用研究
%D 2008
%I 
%X This paper proposed a novel niche technique to solve the problem of parameters' selection.Any parameters were unnecessary in this method.Through monitoring the changes of tangent value,particles were judged whether there were in the same hill and they would follow the best particle which was in the same hill with them.Each local best solution could be found in this way.The algorithm is easy to realize.So it not only can conquer the shortcoming the limitation of parameters but also only one solution can be found in particle swarm optimization algorithm.The typical numerical simulation results show that the improved algorithm is fairly effective.
%K particle swarm optimization( PSO)
%K multimodal functions
%K niching technique
%K Sobol sequence<br>粒子群算法
%K 多峰值函数
%K 小生境技术
%K Sobol序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=B34FA1974A9212932BF4A1F594952C4A&yid=67289AFF6305E306&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=A3F88DB974048AA6&eid=AAC92253BEFD5B31&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=14