%0 Journal Article
%T Improved function optimization algorithm based on immune clonal<br>一种改进的克隆函数优化算法*
%A JIANG Jian
%A HE Yi
%A <br>姜建
%A 何燚
%J 计算机应用研究
%D 2012
%I 
%X In order to improve the search ability of the immune clone algorithm, this paper proposed a method with Baldwin efficiency and periodically mutation based on Baldwin efficiency and periodical evolution of organism. The operators overcame the random evolutionary and enhanced the rapid convergence. The function optimization based experiments show that the algorithm has better effectiveness and optimization capacity.
%K artificial immune system
%K clone selection
%K function optimization
%K learning mechanism
%K periodically mutation<br>人工免疫系统
%K 克隆选择
%K 函数优化
%K 学习机制
%K 周期性变异
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=61833B526617F5D5F4CAF2AE2873C508&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=78BF76CF5B7CB0F2&eid=0A0BD3F594F876C0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10