%0 Journal Article
%T Artificial immune antibody adjusting clonal algorithm for the 0-1 knapsack problem<br>求解0-1背包问题的人工免疫抗体修正克隆算法
%A DU Hai-feng
%A LIU Ruo-chen
%A JIAO Li-cheng
%A WANG Sun-an
%A <br>杜海峰
%A 刘若辰
%A 焦李成
%A 王孙安
%J 控制理论与应用
%D 2005
%I 
%X Based on the clonal selection theory,the antibody-adjusting-clone operator is analyzed.A new artificial immune system algorithm,Artificial Immune Antibody Adjusting Clonal Algorithm (AIAACA),is put forward.Based on Markov chain theorem,the general artificial immune system algorithm is proved to be convergent.Compared with the Evolutionary Algorithm (EA),AIAACA is shown to be an evolutionary strategy to solve the combinatorial optimization problem,like 0-1 knapsack problem.
%K clonal selection
%K evolutionary algorithms
%K Markov chain
%K 0-1 knapsack problem<br>克隆选择
%K 进化算法
%K 马尔可夫链
%K 背包问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=001B43D23271A749&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=38B194292C032A66&sid=375BEEEA164CFE59&eid=EA64BD0B2FF6E786&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=10&reference_num=9