| 基于遗传算法的自动组卷研究与应用 |
| |
| 引用本文： | 施俊,缪勇.基于遗传算法的自动组卷研究与应用[J].数字社区&智能家居,2014(12):8160-8162. |
| |
| 作者姓名： | 施俊 缪勇 |
| |
| 作者单位： | 扬州市职业大学信息工程学院,江苏扬州225009 |
| |
| 基金项目： | 江苏省高等教育教改研究立项课题（课题编号2011JSJG438,指南编号3-5）; 江苏省现代教育技术研究课题（课题编号2012-R-22691） |
| |
| 摘 要： | 随着在线考试系统的广泛应用,组卷算法决定了自动组卷的性能。为提高组卷成功率,提出基于遗传算法的自动组卷模型,根据总分、题型、难度、区分度等要求建立多目标、多约束条件的数学模型。采用ASP.NET编程实现,并进行编码、选择、交叉、变异等操作,使遗传算法能满足自动组卷要求。
|
| 关 键 词： | 在线考试 自动组卷 遗传算法 数学模型 |
Research and Application of Auto Test Paper Generation Based on Genetic Algorithm |
| |
| SHI Jun,MIAO Yong.Research and Application of Auto Test Paper Generation Based on Genetic Algorithm[J].Digital Community & Smart Home,2014(12):8160-8162. |
| |
| Authors: | SHI Jun MIAO Yong |
| |
| Affiliation: | (Yangzhou Polytechnic College Institute of Information Engineering, Yangzhou 225009, China) |
| |
| Abstract: | With the wide application of online examination system, the algorithm of generating test paper determines the performance of auto test paper generation. In order to improve the success rate of generating test paper, a model of auto test paper generation based on genetic algorithm is put forward and a multi-objective, multi restricted mathematical model is established which meets the requirements of total score, question types and degree of difficulty and distinction. Using ASP.NET programming , coding, selection, crossover and mutation can make the genetic algorithm satisfy the requirements of auto test paper generation. |
| |
| Keywords: | online examination auto test paper generation genetic algorithm mathematical model |
| 本文献已被 维普 等数据库收录！ |
|
