%0 Journal Article
%T An Immune Clonal Algorithm for Dynamic Multi-Objective Optimization<br>免疫克隆算法求解动态多目标优化问题
%A SHANG Rong-Hua
%A JIAO Li-Cheng
%A GONG Mao-Guo
%A MA Wen-Ping
%A <br>尚荣华
%A 焦李成
%A 公茂果
%A 马文萍
%J 软件学报
%D 2007
%I 
%X The difficulty of Dynamic Multi-Objective Optimization(DMO)problem lies in either the objective function and constraint or the associated problem parameters variation with time.In this paper,based on the immune clonal theory,a new DMO algorithm termed as Immune Clonal Algorithm for DMO(ICADMO)is proposed.In the algorithm,the entire cloning is adopted and the clonal selection based on the Pareto-dominance is adopted.The individuals in the antibody population are divided into two parts:Dominated ones and non-dominated ones,and the non-dominated ones are selected.Three operators are introduced into ICADMO,which guarantees the diversity,the uniformity and the convergence of the obtained solutions.ICADMO is tested on four DMO test problems and compared with the Direction-Based Method(DBM),and much better performance in both the convergence and diversity of the obtained solutions is observed.
%K artificial immune system
%K Pareto-optimal front
%K dynamic multi-objective optimization
%K performance metric<br>人工免疫系统
%K Pareto-前沿面
%K 动态多目标优化
%K 性能指标
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=A665CDB449668DC13C287BB570F062F3&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=708DD6B15D2464E8&sid=BAF57314E6F4EA41&eid=E84A2B5E13DC8191&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=16