%0 Journal Article
%T Clonal Strategy Algorithm Based on the Immune Memory
%A Ruo-Chen Liu
%A Li-Cheng Jiao
%A Hai-Feng Du
%A <br>Ruo-Chen Liu
%A Li-Cheng Jiao
%A and Hai-Feng Du
%J 计算机科学技术学报
%D 2005
%I 
%X Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, Clonal Strategy Algorithm based on the Immune Memory (CSAIM), is proposed in this paper. The algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching. According to antibody-antibody (Ab-Ab) affinity and antibody-antigen (Ab-Ag) affinity, the algorithm can allot adaptively the scales of memory unit and antibody population. It is proved theoretically that CSAIM is convergent with probability 1. And with the computer simulations of eight benchmark functions and one instance of traveling salesman problem (TSP), it is shown that CSAIM has strong abilities in having high convergence speed, enhancing the diversity of the population and avoiding the premature convergence to some extent.
%K artificial immune system
%K clonal selection
%K immune memory
%K evolutionary computation
%K traveling salesman problem<br>人工免役系统
%K 免役存储
%K 复制策略
%K 进化计算
%K 稳定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=3DC69D0CF9E9BD9E33A0F9D2C5EB0A84&yid=2DD7160C83D0ACED&vid=A04140E723CB732E&iid=94C357A881DFC066&sid=4D1A534FF6CD5D9A&eid=7F9B7E84827A650F&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=4&reference_num=11