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基于遗传算法的智能组卷研究
引用本文:吴晓琴.基于遗传算法的智能组卷研究[J].合肥学院学报(自然科学版),2007,17(2):47-50.
作者姓名:吴晓琴
作者单位:合肥学院,计算机科学与技术系,合肥,230601
摘    要:分析了智能组卷约束条件,建立了智能组卷系统的数学模型,并给出了改进的遗传算法求解智能组卷问题的新方法.实验结果表明所提出的新组卷算法相对于其他算法更能有效地解决自动组卷问题,组卷成功率高,组卷速度快,具有较好的性能和实用性.

关 键 词:遗传算法  数学模型  组卷  约束
文章编号:1673-162X(2007)02-0047-04
修稿时间:2007年3月2日

Research on Intelligent Auto-generating Test Paper Based on Genetic Algorithms
WU Xiao-qin.Research on Intelligent Auto-generating Test Paper Based on Genetic Algorithms[J].Journal of Hefei University :Natural Sciences,2007,17(2):47-50.
Authors:WU Xiao-qin
Abstract:The constraint conditions of the auto-generating test paper are analyzed. A new method of composing test paper based on the improved genetic algorithm is given. The mathematical model of intelligence test paper generation system is set up. The method of test paper auto-generation based on genetic algorithms is developed. The results of the experiments show that the new method is more efficient and easier to deal with the problem of auto-generating test paper than the traditional algorithms. It has the advantage of high success rate and fast speed, and better performance and practicability.
Keywords:genetic algorithms  mathematical model  auto-generating test paper  constraint
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