%0 Journal Article
%T A Convergence Analysis Framework for Multi-objective Optimization Evolutionary Algorithm<br>一个多目标优化演化算法的收敛性分析框架*
%A QIN Jun
%A KANG Li-shan
%A <br>覃俊
%A 康立山
%J 计算机应用研究
%D 2005
%I 
%X Based on Finite Markov Chain theory, a new convergence analysis framework for Multi-objective Optimization Evolutionary Algorithm (MOEA), which aims to converge to Pareto optimal set rather than single optimal point, is presented. And a case study is given too.
%K Multi-objective Optimization
%K Evolutionary Algorithm
%K Pareto Dominance
%K Convergence
%K Finite Markov Chain<br>多目标优化
%K 演化算法
%K Pareto前沿
%K 收敛性
%K 有限马尔科夫链
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D3EAEAF63A89BFB4&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=0B39A22176CE99FB&sid=68D88C2FCF9C3098&eid=09ABD5535D9B6D45&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=8