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计算机技术2019年1期

基于遗传算法的智能考试系统开发
孙丽娜
(哈尔滨铁道职业技术学院,黑龙江 哈尔滨 150040)

摘  要:基于遗传算法的智能考试系统,能够实现对学生的在线考核。考核时,首先由考生进行网络登录,然后考试系统通过浏览器端口对其进行身份鉴别,允许符合考生身份的考生参加考试。系统实现自动收卷、自动判分,考试后成绩统计与分析等功能。而基于遗传算法的智能考试系统的智能体现在对试卷难度的控制上,此系统通过遗传算法使得每套试卷各不相同,但又符合总分、题量相同等基本约束条件,同时使得每套试卷的难度在所控制的范围之内,体现了考核的公平性。


关键词:遗传算法;高级语言;出卷策略;分数查询;系统维护



中图分类号:TP311.52        文献标识码:A        文章编号:2096-4706(2019)01-0083-03


Development of Intelligent Examination System Based on Genetic Algorithm

SUN Lina

(Harbin Railway Technical College,Harbin 150040,China)

Abstract:The intelligent examination system based on genetic algorithm can realize the online examination of students. When examining,the examinee first logs on to the internet,and then the examining system authenticates the examinee through the browser port,allowing the examinee who meets the examinee’s identity to take the examination. The system realizes automatic winding up, automatic grading,statistics and analysis after examination. The intelligence of intelligent examination system based on genetic algorithm is embodied in the control of the difficulty of examination papers. This system makes each set of examination papers different by genetic algorithm,but it also meets the basic constraints of total score and the same amount of questions. At the same time,it makes the difficulty of each set of examination papers within the scope of control and reflects the fairness of examination

Keywords:genetic algorithm;high level language;marking strategy;score query;system maintenance


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作者简介:孙丽娜(1981.01-),女,汉族,黑龙江安达人, 教师,副教授,硕士,研究方向:数据库。