差分进化算法在大学英语考试智能组卷中的研究应用

Research and Application of Differential Evolution Algorithm in the Intelligent Test Paper of College English Test

大学英语考试规模较大,标准化程度较低。为保证考试质量,在融合信息化建设的基础上,针对传统组卷算法的弊端,开展基于差分进化算法的研究。分析了影响试卷质量指标的因素,在此基础上构建了组卷算法的数学模型,运用差分进化算法模型解决组卷中的选择、变异、交叉问题,对差分进化算法在智能组卷中的流程,及主要步骤进行了说明。

The scale of English examinations is usually very large, and the standardization level is low. In order to ensure the quality of the examination, on the basis of the integration of information construction, this paper carries out the research based on the differential evolution algorithm. The factors that affect the test paper quality are analyzed. On this basis, a mathematical model of grouping paper algorithm is constructed, and the differential evolution algorithm is used to solve the selection, variation and cross problems in the paper. The process and the main steps of the differential evolution algorithm in the intelligent test paper are explained.