%0 Journal Article
%T Fast Pareto-based multi-objective clonal selection algorithm<br>基于Pareto的快速多目标克隆选择算法*
%A LI Heng-jie
%A HAO Xiao-hong
%A ZHANG Lei
%A <br>李恒杰
%A 郝晓弘
%A 张磊
%J 计算机应用研究
%D 2008
%I 
%X A multi-objective clonal selection algorithm(MCSA) was proposed based on the clonal selection principle in the immune system.Only some Pareto optimal solutions were selected for further evolutionary operation in the algorithm.The Pareto optimal solutions were reserved in an external memory set which was renewed in each generation,and a simple mechanism was used to maintain good spread of solutions.It is shown by experimental results that the method can reach the Pareto optimal front very quickly and retain the better diversity of the solutions.The proposed MCSA is superior to other algorithms such as SPEA,NSGA-II etc.in terms of the precision,the quantity,the distribution uniformity,the diversity of solutions and the convergence rate of algorithm in solving one kind of typical benchmark problems.
%K clonal selection principle
%K Pareto optimal solutions
%K multi-objective optimization<br>克隆选择原理
%K Pareto最优解
%K 多目标优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=92EE8F79A295B25712C475A395A13453&yid=67289AFF6305E306&vid=C5154311167311FE&iid=94C357A881DFC066&sid=5A64531D29896B77&eid=40DE18199B7CA9BB&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10