基于改进遗传算法的智能组卷系统设计

Design of Intelligent Test Paper Generation System Based on Improved Genetic Algorithms

针对大学课程考核及题库建设需求,设计并实现了一种基于改进遗传算法的智能组卷系统。系统采用Word文档保存试题的内容和答案;在组卷策略上采用了改进遗传算法,详细设计了组卷问题的染色体结构、适应度函数和遗传操作等,克服了传统随机组卷方法存在的局限性,科学合理地解决了智能组卷问题。通过测试后发现,本智能组卷系统可操作性强、组卷效率高,可以显著提高组卷的质量,完全能够满足课程考核的实际需求。

Aiming at the needs of university course assessment and item bank construction,an intelligent test paper generating system Based on improved genetic algorithm is designed and implemented.The system uses Word document to save the contents and answers of the test questions,and adopts improved genetic algorithm to organize the test papers.The chromosome structure,fitness function and ge⁃netic operation of the test paper problem are designed in detail,which overcomes the limitations of the traditional random test paper gen⁃eration method and solves the problem of intelligent test paper generation scientifically and reasonably.After testing,it is found that the intelligent test paper generating system has strong operability,high efficiency,can significantly improve the quality of test paper,and can fully meet the actual needs of curriculum assessment.