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
相关论文
共 50 条
  • [31] Test paper composition based on fish swarm algorithm
    [J]. Wang, Wenfa, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18):
  • [32] Research on Auto-generating Test Paper System Based on LDA and Genetic Algorithm
    Xiong, Kai
    Huang, Xiaojun
    [J]. PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2018, : 416 - 421
  • [33] Test Paper Generating Method Based on Genetic Algorithm
    Li Yan
    Li Shuhong
    Li Xiurong
    [J]. AASRI CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, 2012, 1 : 549 - 553
  • [34] Optimizing intelligent-generating test paper model by improved genetic algorithm
    School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    不详
    [J]. Wang, J. (wangjia.chn@gmail.com), 1600, Huazhong University of Science and Technology (41):
  • [35] A test paper generation algorithm based on diseased enhanced genetic algorithm
    Cui, JunChuan
    Zhou, Ya
    Huang, Guimin
    [J]. HELIYON, 2023, 9 (06)
  • [36] Test Paper based on genetic algorithm Policy Analysis and Improvement
    Yi, Gang
    Jin, Min
    [J]. 2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL I, 2011, : 51 - 54
  • [37] Test Paper based on genetic algorithm Policy Analysis and Improvement
    Yi, Gang
    Jin, Min
    [J]. 2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VI, 2010, : 52 - 55
  • [38] The Development and Implementation of Intelligent Test Paper Assembling System
    Liu Ying
    Zhang Jiayi
    [J]. 2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2014, : 777 - 780
  • [39] The Genetic Algorithm in the Test Paper Generation
    Hu, Jian-Jun
    Sun, Yue-Hong
    Xu, Qing-Zhen
    [J]. WEB INFORMATION SYSTEMS AND MINING, PT I, 2011, 6987 : 109 - +
  • [40] The Pose of Data Model and Research based on Analysis of Intelligent Test Paper
    Fang, CaiLi
    Wu, Lin
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 2203 - +
12345