在线教育的智能组卷算法研究

Algorithm of Intelligent Test-Paper Assembling of Online Education

智能组卷是在线教育的重要组成部分,通过对在线教育智能组卷过程中的各种性能指标和约束条件进行分析,建立一个合适的智能组卷数学模型。基于智能组卷多目标优化的特点,选择遗传算法来实现智能组卷,并基于智能组卷的特点,对基于遗传算法中的试卷个体的编码、遗传算子和适应度函数进行了研究。

The intelligent test-paper assembling is an important part of online education. Through the analysis of various performance indexes and constraint conditions in the process of intelligent test-paper assembling of online education,this paper established a suitable mathematical model of intelligent test-paper assembling. Based on the multi-objective optimization characteristics of intelligent testpapers assembling,this paper chose genetic algorithm to realize the intelligent test-paper assembling.With characteristic of intelligent test-paper assembling,this paper researched encoding,genetic operator and fitness function of test-paper.