%0 Journal Article
%T Testpaper Auto-Assembling from Question Database on Genetic Algorithm<br>利用遗传算法实现试题库自动组卷问题
%A MENG Xiang-Juan
%A WANG Jun-Feng
%A CAO Jin-Mei
%A <br>孟祥娟
%A 王俊峰
%A 曹锦梅
%J 计算机系统应用
%D 2010
%I 
%X The paper introduces a mathem atical model of testpaper assembling on genetic algorithm, defines an adaptive function on testpaper assembling, and provides some ideas on multi-object parameter optimization on restricted terms by genetic algorithm. In the evolutionary processes of seeds initialization, operators selecting, operator crossing, operation differentiation, the best solution is finally worked out. Results of experiments indicate, genetic algorithm is more effi cient than other algorithms on testpaper auto-assembling.Random algorithm which could achieves testpaper non-adjacency distribution, is a new method for similar multi-object restriction and non-adjacency combination problems.
%K genetic algorithm
%K random algorithm
%K testpaper auto-assembling
%K question database
%K multi-object restriction<br>遗传算法
%K 随机算法
%K 自动组卷
%K 试题库
%K 多目标约束
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=08D6D48A83FC4C744E682984CCB1B871&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=F1A8654ADB4E656E&eid=798FBE8DE1A255B1&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=1&reference_num=5