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.
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 ge- netic 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.
出处
《合肥学院学报（自然科学版）》
2007年第2期47-50,共4页
Journal of Hefei University :Natural Sciences
关键词
遗传算法
数学模型
组卷
约束
genetic algorithms
mathematical model
auto-generating test paper
constraint
