%0 Journal Article
%T Study on the Performance Analysis of Genetic Algorithms<br>遗传算法的性能分析研究
%A DAI Xiao hui
%A LI Min qiang
%A KOU Ji song
%A <br>戴晓晖
%A 李敏强
%A 寇纪淞
%J 软件学报
%D 2001
%I 
%X In this paper, the state of the theory of genetic algorithms is examined, and the No Free Lunch theorem is introduced. The general framework of genetic algorithms is described, in which the performance analysis matrix is built and used to test some typical genetic algorithms. The experimental results indicate that it is a feasible method, which is easy and adaptable to the evaluation of the performance of genetic algorithms.
%K genetic algorithms
%K performance analysis
%K probability density function<br>遗传算法
%K 性能分析
%K 概率密度函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=5E0FB726AFE346C5&yid=14E7EF987E4155E6&vid=59906B3B2830C2C5&iid=94C357A881DFC066&sid=81D76BB45305F8B7&eid=626A0FE8E3130AB5&journal_id=1000-9825&journal_name=软件学报&referenced_num=16&reference_num=8