%0 Journal Article
%T Intelligent test paper generation based on improved genetic algorithm<br>基于改进遗传算法的智能组卷方法
%A MA De-liang
%A LU Chang-hui
%A WANG Xiao-le
%A <br>马德良
%A 陆昌辉
%A 王小乐
%J 计算机应用
%D 2009
%I 
%X The test paper generation is a multi-constraint and multi-objective optimization issue.A new mathematical model of intelligence test paper generation system was set up.To avoid slow-convergence and local convergence of simple genetic algorithm(SGA),a kind of improved genetic algorithm was proposed in this paper.The experimental results show that the new method is more efficient and effective to deal with the problem of intelligent test paper generation.
%K 遗传算法
%K 智能组卷
%K 数学模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=867F5502744984D10341AC36765A591E&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=DF92D298D3FF1E6E&sid=B9F3FA78581E475F&eid=0BEF78F5D55A0862&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=12