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智能组卷系统的建模与算法研究
引用本文:王友仁,张砦,崔江,姚睿,储剑波. 智能组卷系统的建模与算法研究[J]. 系统工程理论与实践, 2004, 24(9): 85-89. DOI: 10.12011/1000-6788(2004)9-85
作者姓名:王友仁  张砦  崔江  姚睿  储剑波
作者单位:南京航空航天大学自动化学院
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.

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   
文章编号:1000-6788(2004)09-0085-05
修稿时间:2003-11-03

Mathematical Model and Algorithm of Intelligent Test Paper Auto-generation System from Item Pool
WANG You-ren,ZHANG Zhai,CUI Jiang,YAO Rui,CHU Jian-bo. Mathematical Model and Algorithm of Intelligent Test Paper Auto-generation System from Item Pool[J]. Systems Engineering —Theory & Practice, 2004, 24(9): 85-89. DOI: 10.12011/1000-6788(2004)9-85
Authors:WANG You-ren  ZHANG Zhai  CUI Jiang  YAO Rui  CHU Jian-bo
Affiliation:College of Automation and Engineering,Nanjing University of Aeronautics and Astronautics
Abstract: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.
Keywords:education expert system  intelligent system of auto-generating test paper  characteristics of test paper  mathematical model  immune genetic algorithm
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