遗传算法在智能考试系统中的应用

摘要

Web-based examination system represents the trend of the modern examination system development.Intelligent test paper system is a key part of examination system, while genetic algorithms is the most commonly used in Intelligent test system. In light of discussions on some key issues in genetic algorithms in Intelligent test system, the article presents methods for setting population scale, parameter variation so as to avoid the premature convergence in genetic algorithm and enhance its local search capability and overall stabilitv.%基于WEB的考试系统是现代考试系统发展的趋势。智能组卷系统是考试系统中的一个关键组成部分，而遗传算法是智能考试系统中最常采用的算法。通过讨论智能组卷中遗传算法的几个关键问题，提出了合理的设定种群规模、变异参数，避免遗传算法过早收敛并增强局部搜索能力、整体稳定性等问题的改进方法。