摘要
根据教育考试理论与统计学,分析了自动组卷目标要求,建立了智能组卷系统的数学模型.提出了一种基于免疫遗传算法的智能组卷算法,提出了分段编码、段内遗传操作、误差加权适应度评估方法.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成功率高、组卷速度快.
With the help of examination theory and education mathematics, 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 auto-generation based on immune genetic algorithm (IGA) is proposed. Segmented coding, crossover and mutation in segment, evaluation function of genetic are developed. Instance analysis to intelligent system of test paper generation from test item pool about analog electronic technology is present. The experimental results show that the IGA algorithm can solve the test paper auto-generation problem in test item pool effectively, and has better performances of quick convergence to genetic algorithm.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2004年第9期85-89,97,共6页
Systems Engineering-Theory & Practice
关键词
教学专家系统
自动组卷系统
组卷目标
数学模型
免疫遗传算法
education expert system
intelligent system of auto-generating test paper
characteristics of test paper
mathematical model
immune genetic algorithm
