基于改进粒子群算法的计算机考试自动组卷方法  

Automatic Test Paper Generation Method for Computer Examination Based on Improved Particle Swarm Optimization Algorithm

作　　者：周小平[1] ZHOU Xiao-ping(Guangxi Modern Vocational and Technical College,Hechi 547000 China)

机构地区：[1]广西现代职业技术学院,广西河池547000

出　　处：《自动化技术与应用》2023年第7期70-73,共4页Techniques of Automation and Applications

基　　金：2021年广西职业教育教学改革研究项目(GXGZJG2021A028)。

摘　　要：针对当前计算机考试自动组卷方法存在效率低、质量差等不足,为了获得更加理想的计算机考试自动组卷结果,设计了基于改进粒子群算法的计算机考试自动组卷方法。首先根据计算机考试组卷的目标和约束条件设计相应的目标优化问题,然后采用改进粒子群算法对目标优化问题进行求解,根据最优解得到计算机考试自动组卷方案,最后进行计算机考试自动组卷效果测试,结果表明计算机考试组卷效率高,相对其他方法,获得更优的计算机考试自动组卷结果,可以满足在线、无纸化考试的要求,具有较高的实际应用价值。Aiming at the shortcomings of low efficiency and poor quality in the current automatic test paper generation method of computer examination,in order to obtain more ideal automatic test paper generation results of computer examination,an automatic test paper generation method based on improved particle swarm optimization algorithm is designed.Firstly,the corresponding objective optimization problem is designed according to the objectives and constraints of computer test paper generation,then the improved particle swarm optimization algorithm is used to solve the objective optimization problem,and the automatic test paper generation scheme of computer test is obtained according to the optimal solution.Finally,the effect of automatic test paper generation of computer test is tested.The results show that the computer test paper generation efficiency of this method is high,compared with other methods,better automatic test paper generation results of computer examination are obtained,which can meet the requirements of online and paperless examination,and has high practical application value.

关 键 词：计算机考试 在线考试 粒子群算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]