Test Paper Generating Method Based on Genetic Algorithm

被引：12
|
作者：
Li Yan [1 ]
Li Shuhong [2 ]
Li Xiurong [3 ]
机构：
[1] Henan Inst Sci & Technol, Continuat Educ Coll, Xinxiang 453003, Peoples R China
[2] Xinxiang Vocat & Tech Coll, Training Dept, Xinxiang 453006, Peoples R China
[3] Guangshan Expt Elementary Sch, Guangshan 465450, Peoples R China
来源：
AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS | 2012年 / 1卷
关键词：
Continuation education; Test paper generating; Genetic algorithm; Genetic operator;
D O I：
10.1016/j.aasri.2012.06.086
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The continuation education is very important for people who have left school to work to increase their competence and skills. To avoid the disadvantages of the common test paper generating methods, genetic algorithm is used to generate the test paper automatically. The concrete design process of test paper generating based on genetic algorithm is discussed in this paper, and some corresponding parameters setting have been compared and defined. The application results demonstrated that the genetic algorithm was an effective tool in the test paper generating. 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of American Applied Science Research Institute
引用
收藏
页码：549 / 553
页数：5
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