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基于自适应遗传算法的智能组卷研究
引用本文:董敏,霍剑青,王晓蒲.基于自适应遗传算法的智能组卷研究[J].小型微型计算机系统,2004,25(1):82-85.
作者姓名:董敏  霍剑青  王晓蒲
作者单位:中国科学技术大学,人工智能与计算机应用实验室,安徽,合肥,230026
摘    要:计算机辅助教学CAI(Computer Assisted Instruction)的一个重要应用是计算机辅助测验CBT(Computer Based Testing).智能组卷是CBT的基础.组卷中关键是解决约束优化问题.在研究现代教育测试理论与计算机辅助测验CBT的基础上.提出一种解决计算机组卷中约束优化问题的方法,自适应遗传算法,该方法有效地解决了基于IRT的智能组卷问题,为解决约束优化问题提供一种新的有效途径.具有较好的性能和实用性.

关 键 词:项目反应理论IRT  自适应遗传算法AGA  约束优化问题
文章编号:1000-1220(2004)01-0082-04

Research on Computerized Test Construction Based on Adaptive Genetic Algorithms
DONG Min,HUO Jian-qing,WANG Xiao-pu.Research on Computerized Test Construction Based on Adaptive Genetic Algorithms[J].Mini-micro Systems,2004,25(1):82-85.
Authors:DONG Min  HUO Jian-qing  WANG Xiao-pu
Affiliation:DONG Min,HUO Jian-qing,WANG Xiao-pu 1
Abstract:One of the important applications on Computer Assisted Instruction (CAI) is Computer-based Testing. Computer Test Construction is the basis of CBT, which key problem is to solve constraint optimization problems. On the research of modern test theory and CBT, an adaptive genetic algorithm is given here to solve the problems of computer test construction based on IRT. The results indicated that AGA could solve the problems effectively, which gives us a new way to solve constraint optimization problems with good performance and practicability.
Keywords:item response theory (IRT)  adaptive genetic algorithms (AGA)  constraint optimization problems  
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