计算机与数字工程2012，Vol.40Issue(3)：24-26,3.
基于遗传算法的在线考试系统自动组卷策略优化
Strategic Optimization of Auto-generating Test Paper for Online Test System Based on Genetic Algorithm
摘要
Abstract
This paper, on the basis of analyzing the structure of the test paper, designs an adaptive genetic algorithm for auto-generating test paper, establishes and describes the number of chromosome and fitness function for the test paper problems, implements genetic operations by the use of genetic algorithm global optimization and convergence speed. Using the above-said genetic algorithm from the item bank, a set of optimal solution or approximate one of the entity is selected, and a large number of test experiments are implemented. The results show that the adaptive genetic algorithm is feasible, effective and adaptive, which promote the efficiency of auto-generating test paper for online test system, ease the burden on teachers and satisfy the teaching requirement.关键词
遗传算法/在线考试系统/自动组卷Key words
genetic algorithm/ online test system/ auto-generating test paper分类
信息技术与安全科学引用本文复制引用
林关成,吴代文..基于遗传算法的在线考试系统自动组卷策略优化[J].计算机与数字工程,2012,40(3):24-26,3.基金项目
陕西省教育科学“十一五”规划课题项目(编号:SGH10154)资助. （编号:SGH10154）
