基于遗传算法的试题库智能组卷系统研究
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江苏省横向课题“网络课件与宏平台设计与开发”(2129)


A Test Paper-Autogenerating System Based on Genetic Algorithm
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    摘要:

    采用自适应交叉率和变异率的生物遗传学算法,建立一个智能组卷的数学模型,并对该数学模型的编码方法和遗传操作进行了详细介绍和讨论。对该数学模型的应用求解表明,该方法是对以前的随机法和简单遗传算法组卷的一个显著改善。

    Abstract:

    An intelligent method to develop exam and quiz sheets for an online test system is presented in this paper.The intelligent method applies an adaptive crossover rate and mutation rate's biologic genetic algorithms to the question selection for exam and quiz sheets.The mathematic model consists of genetic iteration,sample adaptability function,mating probability,aberrance probability,optimum selection and error estimation.All details of the coding and operation of the model are shown in the paper,and the results of the experimental applications of the model are also discussed.The running time and error analysis show that the improved genetic algorithm is more satisfying compared with the traditional Simple Genetic Algorithm and Probability Method.In the paper some technique procedures and key skills for developing online test system are introduced,which are based on Personal Home Page(PHP) and database MySQL applications.

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朱玉祥,苗春生,孙承佼,2006.基于遗传算法的试题库智能组卷系统研究[J].大气科学学报,29(2):282-285. ZHU Yu-xiang, MIAO Chun-sheng, SUN Cheng-jiao,2006. A Test Paper-Autogenerating System Based on Genetic Algorithm[J]. Trans Atmos Sci,29(2):282-285.

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  • 收稿日期:2004-01-05
  • 最后修改日期:2004-06-20
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