基于遗传算法的网络考试系统

Design and Realization of On-line Examination System

在基于遗传算法的网络考试系统的研究中,针对目前传统网络考试系统存在的收敛性速度慢、抽题随机性大,为了组卷能够抽取符合设定参数的试题,又具有较快的抽题速度,提出了使用动态调整遗传算子的遗传算法改进网络考试系统。运用遗传算法,进行了网络考试系统设计,优化了智能组卷方案。通过验证,方法实现了全局并行搜索并且能够不断向可能包含最优解的方向调整搜索空间,同时可使智能组卷所消耗的时间减少9-17倍,从而有效地解决了传统试题库组卷的效率问题,确保了智能组卷的试题质量。

This paper studies the network based on genetic algorithms examination system. The current examination system existing in the traditional network convergence is slow and with large random in questions choosing. In order to enable the test paper to meet the the desired parameters and have a faster rate of questions choosing, the use of dynamic adjustment of the genetic operators of genetic algorithm was put forward to improve network examination system. The use of genetic algorithms was carried out the in network test system design and optimization of the intelligent test paper program. Validation. The method achieved the global parallel search and was able to keep the search move to the space where may include the optimal solution. The intelligent test paper can reduce the time cost by 9 - 17 times, increase the traditional Question Bank Group volume efficiency effectively, and ensure the quality of intelligence test paper of the examination questions.