基于差分进化算法的英语考试智能组卷

发布时间：2018-12-11 23:27

【摘要】：为保证英语大规模标准化考试质量要求和信息化建设的需要,针对传统组卷算法存在的问题,基于差分进化算法展开研究。首先,在阐明影响试卷质量指标的基础上,构建了组卷算法数学模型;然后,研究差分进化算法模型,主要针对变异、交叉和选择三种操作;最后,以组卷算法和差分进化算法模型为基础,绘制了差分进化算法智能组卷程序流程图,并对主要步骤进行了说明。差分进化算法具有原理简单、受控参数少、鲁棒性强、收敛性和稳定性好等特点,依据文中研究内容可以快速构建适合于大学英语教学和考试的智能组卷系统。
[Abstract]:In order to ensure the quality requirements of English large-scale standardized examinations and the needs of information construction, the research is carried out based on differential evolution algorithm (DEA) to solve the problems existing in the traditional test paper generation algorithm. First of all, on the basis of clarifying the influence of test paper quality index, the mathematical model of test paper formation algorithm is constructed, and then, the differential evolution algorithm model is studied, which is mainly aimed at three operations: mutation, crossover and selection. Finally, based on the test paper generation algorithm and differential evolution algorithm model, the flow chart of intelligent test paper generation program of differential evolution algorithm is drawn, and the main steps are explained. Differential evolution algorithm has the advantages of simple principle, few controlled parameters, strong robustness, good convergence and stability. According to the research in this paper, an intelligent test paper system suitable for college English teaching and examination can be constructed quickly.
【作者单位】：渤海大学;
【基金】：辽宁省教育科学“十二五”规划项目(JG12DB243)
【分类号】：H319.3;TP18

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