%0 Journal Article
%T Novel clone selection algorithm<br>一种新型的克隆选择算法
%A DENG Xue-feng
%A TANG Jun
%A <br>邓雪峰
%A 唐俊
%J 计算机应用研究
%D 2011
%I 
%X To improve the self-adaptive capacity of clone selection algorithm, this paper proposed a novel self-adaptive clone selection algorithm based on danger theory. It designed the danger signal operation operator, saw the change of population concentration as environmental factors, regarded antibody affinity the basis of computing its danger level, and then guided the immune response by danger signal self-adaptive in the end. Simulation results show that the proposed algorithm has good performance of self-adaptive ability and multimodal searching ability.
%K 人工免疫系统
%K 危险理论
%K 克隆选择算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8F806F2F294C52B07630D8FA88187A93&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=2E01F39B6CBD53DE&eid=9DC563A0FEFC04F9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=6