基于遗传算法的试题库组卷研究  

Research of Test Paper Composition Based on Genetic Aalgorithm

作　　者：李迎斌[1] 王春峰[1] 刘丽萍[1] 

机构地区：[1]天津中医药大学图书馆,天津300193

出　　处：《数字技术与应用》2014年第12期128-129,共2页Digital Technology & Application

基　　金：天津中医药大学教育教学改革研究项目(2013JYL009)

摘　　要：组卷问题是一个多重优化约束目标求解问题,使用传统方法解决此种问题较困难,考试题库以及组卷算法的设计决定了组卷的效率和质量。文中提出一种基于遗传算法的组卷方法,给出了初始种群方法,分段编码及交叉算子、变异算子,优化了搜索过程,实验证明求解组卷问题采用该方法行之有效,有利于实现考试的规范化、科学化、教考分离。Test paper construction is a multi-object optimization restrict problem,it is quite difficultly to solve using traditional mathematics method.The efficiency and the quality completely are decided to tries the question bank design as well as pulls out the topic algorithm the design.This paper puts forward an intelligent algorithm,which optimizes the search course and adopts the segment code.The experiment proves that the algorithm has practicability.It is a key way to separate the examination from teaching and make the exam more standard.

关 键 词：组卷 遗传算法 试题库 计算机辅助测验 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]