摘要
根据教育考试理论与统计学,分析组卷目标要求,建立智能组卷系统的数学模型,提出一种基于微粒群算法的智能组卷算法。通过应用实例分析,实验结果表明所提出新组卷算法的组卷速度快、精度高。
With the help of examination theory and statistics, the requirements of the test paper are analyzed in details . The mathematical model of intelligent test paper generation system is set up. The method of test paper autogeneration based on particle swarm optimization algorithm is proposed . The experimental results show that the PSO algorithm has high searching efficiency and precision.
出处
《镇江高专学报》
2006年第3期53-56,共4页
Journal of Zhenjiang College
基金
江苏省现代教育技术研究"十一.五"规划课题(2006-R-2305)
江苏广播电视大学学术带头人培养工程资助项目
关键词
微粒群算法
智能组卷
适应度值
particle swarm optimization
intelligence producing examination paper
fitness value.
