| 通用在线考试系统智能组卷遗传算法设计 |
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| 引用本文：吕海燕，周立军，宦婧，张杰.通用在线考试系统智能组卷遗传算法设计[J].计算技术与自动化,2016,(4):86-90 |
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| 中文摘要:组卷算法设计是考试系统设计的核心。在分析通用在线考试系统的特点及组卷原则的基础上，首先建立一种改进的组卷数学模型；接下来依据该模型主要从编码方式选择、适应度函数的确定以及遗传算子的设计等方面详细设计通用在线考试系统采用的改进的遗传算法；最后，给出基于改进的遗传算法的智能组卷流程。应用表明，采用该算法实现的本系统的组卷功能在组卷的速度和成功率都得到显著提高，较好地满足了各类课程的组卷需求。 |
| 中文关键词:智能组卷 遗传算法 组卷数据模型 组卷流程 通用在线考试系统 |
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| Design of Intelligent Test Paper Generating Genetic Algorithm for Common Online Examination System |
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| Abstract:Intelligent algorithm of assembling test taper is the core of the test system design. Based on analysis of the characteristics of the common online examination system and the general principles, firstly an improved test paper generated mathematical model was established. Then the improved genetic algorithm was designed mainly from the following three aspects: the coding scheme selection, the fitness function determination and the genetic operator design. Finally, the intelligent test paper process of the adopted improved genetic algorithm was shown. Applications show that the test paper speed and success rates have been significantly improved to better meet the needs of various courses of test paper. |
| keywords:intelligent generating genetic algorithm test paper generated mathematical model test paper generate process common online examination system |
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