Study of Intellectual Auto-generating Test-paper based on Adaptive Genetic Algorithm

被引：0
|
作者：
Mao, Haijie [1 ,2 ]
Feng, Xiaolin [1 ,2 ]
Li, Wei [1 ,2 ]
Chen, Hui [1 ,2 ]
机构：
[1] Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Gansu, Peoples R China
[2] Key Lab Gansu Adv Control Ind Proc, Lanzhou, Gansu, Peoples R China
来源：
ICFCSE 2011: 2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SUPPORTED EDUCATION, VOL 2 | 2011年
关键词：
auto-generating test paper; adaptive genetic algorithm; crossover probability; mutation probability;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In view of the present problems in the system of low success rate, the long-term test paper, and the test generation can not meet measurement requirements of education, improved algorithm was proposed. First, a mathematical model for test papers was established according to the performance of test papers. And then, the adaptive genetic algorithm was studied on the analysis of the reasons for premature and local optimal. In the method, the crossover probability and mutation probability were changed from fixed values into the variables with formula under different conditions. The experimental results showed the effectiveness of the proposed algorithm.
引用
收藏
页码：5 / 8
页数：4
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