%0 Journal Article
%T Multi-modal function optimization based on improved immune algorithm<br>基于新型免疫算法的多峰函数优化
%A FU Qing-ping
%A <br>傅清平
%J 计算机应用研究
%D 2011
%I 
%X For the difficulty of finding all the extreme solutions for multi-modal function optimization, this paper proposed an improved immune algorithm. It designed the operators according to Baldwin efficiency and receptor editing, and enhanced the learning ability of the algorithm and fast the convergence. The experiment results show that the algorithm has better effectiveness and rapid convergence.
%K immune algorithm
%K multi-modal function optimization
%K Baldwin efficiency
%K receptor editing<br>免疫算法
%K 多峰函数优化
%K Baldwin效应
%K 受体编辑
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE072E2827E032FAC8AED&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=21122BB412EBA690&eid=48334FF981A12041&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12