Research and Implementation of Intelligent Test Paper Composition Based on Genetic Algorithm

被引：1
|
作者：
Zhang, Yongsheng [1 ,2 ]
Zhang, Jie [1 ,2 ]
Wang, Pei [1 ,2 ]
机构：
[1] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China
[2] Shandong Prov Key Lab Novel Distributed Comp Soft, Jinan, Shandong, Peoples R China
来源：
2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018) | 2018年
关键词：
genetic algorithm; fitness function; genetic operator; jaya language;
D O I：
10.1109/ITME.2018.00128
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
According to the characteristics of the online test paper composition, the genetic algorithm is preferred as the core algorithm. However, there are some problems in the traditional genetic algorithm when it is being used, such as low efficiency in the later search period and easy to fall into the local optimal solution. To solve this problem, this paper makes some optimizations for the traditional genetic algorithm's coding scheme, initial population, fitness function and genetic operator. After the improvement, the composing test paper module based on genetic algorithm was finally implemented in java language through seven parts.
引用
收藏
页码：552 / 556
页数：5
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