The Research and Implementation of Technology of Generating Test Paper Based on Genetic Algorithm

被引：0

作者：

Shao Ming-zhu ^{[1
]}

Li Wei-feng ^{[1
]}

Du Jing-yi ^{[1
]}

机构：

[1] Henan Mech & Elect Engn Coll, Dept Comp Sci, Xinxiang, Peoples R China

来源：

INTELLIGENCE COMPUTATION AND EVOLUTIONARY COMPUTATION | 2013年 / 180卷

关键词：

Automatic Test Paper Generation; Algorithm of Generating Paperr; Genetic Algorithm; Self-Adaptive Genetic Algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Automatic test paper generation is an important part of examination system. How to improve the test paper generating algorithm and the quality of test paper generating has become an important issue at present. Based on the researches on code tactic, adaptive function, controlling parameters, an improved genetic algorithm is used in the paper. Experiment shows that the improved genetic algorithm could compose test paper more efficiently than traditional algorithms.

引用

页码：657 / 663

页数：7

共 6 条

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