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网络教学平台中基于改进SGA的在线考试的研究与设计
引用本文:孙泽军,常新峰.网络教学平台中基于改进SGA的在线考试的研究与设计[J].电子设计工程,2014(24):39-41.
作者姓名:孙泽军  常新峰
作者单位:平顶山学院,河南平顶山467000
摘    要:首先介绍了网络教学平台结构及在线考试功能,然后针对在线考试系统组卷时使用传统遗传算法产生的早熟问题,提出了一种改进的遗传算法SGA。该改进遗传算法在染色体编码、染色体库新个体引入机制等方面作了改进。最后介绍了在线考试阅卷方法及技术。通过系统测试和学生考试实用,结果表明基于改进遗传算法的在线考试系统避免了早熟的产生,缩短了组卷时间,提高了组卷质量和组卷效率。

关 键 词:网络教学平台  遗传算法  在线考试  染色体编码

Network teaching platform for online exam based on improved SGA research and design
SUN Ze-jun,CHANG Xin-feng.Network teaching platform for online exam based on improved SGA research and design[J].Electronic Design Engineering,2014(24):39-41.
Authors:SUN Ze-jun  CHANG Xin-feng
Affiliation:( Pingdingshan University, Pingdingshan 467000,China)
Abstract:This paper describes the structure of the network teaching platform and online examination function, and then use traditional genetic algorithm premature problems generated when online examination system for test paper proposes an improved genetic algorithm SGA. The improved genetic algorithm has been improved in terms of chromosome coding, introducing new individual chromosome library mechanisms. Finally, the online exam marking methods and technologies. Students through the system testing and practical exams, the results show the online examination system based on improved genetic algorithm avoids the precocious generation, shortening the time test paper, test paper to improve the quality and efficiency of test paper.
Keywords:network teaching platform  genetic algorithms  online examination chromosome coding
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