基于遗传算法的智能组卷方案研究

组卷问题是一个多目标约束优化问题，为了快速组成难度呈正态分布的高质量试卷，就必须降低约束目标。文章提出一种基于遗传算法的智能组卷方案，采用十进制分段编码，改进了传统的初始化种群方法，优化了搜索过程。实验证明该方案具有较好的性能和实用性。

Research of Intelligent Test Paper Construction Scheme Based on Genetic Algorithm

Test paper construction is a multi-object restrict optimization problem. In order to get the high-quality paper which degree of difficulty of the paper present normal distribution as quickly as possible, we must reduce the restrict objects. This article puts forward an intelligent algorithm of test paper construction, which is based on genetic algorithm. The algorithm adopts the decimal system segment code, improves the traditional method to initialize the population and optimizes the search course. The experiment proves that this algorithm has better performance and practicability.