基于遗传算法和Java Web组卷系统的设计与实现

Design and Implementation of Examination Paper System Based on Genetic Algorithm and JavaWeb

随着高校课程的不断完善,课程对应题库的题目数量也在不断地增加,为了组成一套令人满意的试卷需要从数量庞大的题库中抽取出合适的题目,这对出题者而言无疑是一项耗时耗力的工作,而且传统的手动组卷方式效率低下,需要耗费大量的时间精力,具有一定的主观性。采用人工智能算法结合Web技术的方式研发一个组卷系统可以高效地完成题目的抽取,也能更加准确地反映出学生的真实能力水平。因此,本文通过使用遗传算法以及Java Web技术设计并实现了一个高效的智能组卷系统。

With the continuous improvement of college courses,the number of questions corresponding to the question bank of the course is also increasing.In order to form a set of satisfactory test papers,it is necessary to extract appropriate questions from a large number of question banks,which is undoubtedly a time-consuming and labor-consuming work for the examiners.Moreover,the traditional manual test paper generation method is inefficient,requires a lot of time and energy,and has a certain subjectivity.Using artificial intelligence algorithm combined with web technology to develop a test paper generation system can not only effectively complete the extraction of questions,but also more accurately reflect the real ability level of students.Therefore,this paper designs and implements an efficient intelligent test paper generation system by using genetic algorithm and Java Web technology.