%0 Journal Article
%T Multi-objective evolutionary algorithm based on neighborhood<br>一种基于邻域的多目标进化算法
%A LI Mi-qing
%A ZHENG Jin-hua
%A LUO Biao
%A WU Jun
%A WEN Shi-hua
%A <br>李密青
%A 郑金华
%A 罗彪
%A 伍军
%A 文诗华
%J 计算机应用
%D 2008
%I 
%X Population maintenance is an important issue in multi-objective evolutionary algorithms. For the deficiency that the maintenance methods of good distribution usually have a high time complexity, a multi-objective evolutionary algorithm based on neighborhood (named NMOEA) was proposed. This measure defined a criterion-neighborhood containing relation, which represented the close degree of individuals. And it was used to assign diversity fitness in a dynamic method that maintained the population rapidly. By examining three performance metrics on seven test problems, the new algorithm can approach the true Pareto front fast, and has good distribution.
%K multi-objective evolutionary algorithm
%K multi-objective optimization problem
%K population maintenance
%K diversity rank
%K neighborhood<br>多目标进化算法
%K 多目标优化问题
%K 种群维护
%K 分布适应度
%K 邻域
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=991978CB79C7E84B55797D323ADDF20A&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=0DDE48E4C6ED47B1&eid=3ACD4359575EFDCA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=19