微型电脑应用2023，Vol.39Issue(12)：105-108,4.
基于改进遗传算法的解剖类课程组卷研究
Research on Anatomy Course Paper Formation Based on Improved Genetic Algorithm
张迪 1容道君 2马勇超2
作者信息
- 1. 西安欧亚学院,信息工程学院,陕西,西安 710000||西安交通大学,电子信息学部,陕西,西安 710000
- 2. 西安欧亚学院,信息工程学院,陕西,西安 710000
- 折叠
摘要
Abstract
In the course of systematic anatomy and partial anatomy teaching,the application of information technology to im-prove the teaching effect has become an important means adopted by medical colleges.In this paper,we study the efficiency of system test paper formation algorithm by taking the question bank of system anatomy and local anatomy as examples.Firstly,according to the question bank model and literature analysis,genetic algorithm is selected to generate the question bank model,and the existing genetic algorithm is tested and verified to obtain the reference value of mutation probability.Secondly,in order to make the test paper quickly meet the requirements of fitness and related parameters,based on the reference value of mutation probability,the method of dynamic adjustment of mutation probability in a specific interval is proposed.Finally,the paper is tested on the basis of anatomy course question bank.Compared with other improved genetic algorithms,the speed and quality of test paper generation are improved,and the effectiveness of the improved algorithm is verified.关键词
解剖课程/改进遗传算法/变异概率/试卷Key words
anatomy course/improved genetic algorithm/mutation probability/examination paper分类
信息技术与安全科学引用本文复制引用
张迪,容道君,马勇超..基于改进遗传算法的解剖类课程组卷研究[J].微型电脑应用,2023,39(12):105-108,4.
