改进遗传算法智能组卷的研究与应用  

Research on an Intelligent Test Construction Method Based on Improved Genetic Algorithm

作　　者：杨剑[1] 张敏辉[2] 

机构地区：[1]电子科技大学成都学院计算机系,四川成都623453 [2]四川教育学院计算机科学系,四川成都611130

出　　处：《计算技术与自动化》2012年第2期106-109,共4页Computing Technology and Automation

摘　　要：组卷问题是一个多目标的约束优化问题,是在线考试系统的重要组成部分。通过对智能组卷建立数学模型,提出了一种基于改进遗传算法来进行智能组卷的方法,实验结果表明,改进的算法在智能组卷的运行速度方面,具有较好的实用性。Computer test construction is a multi--objective constrained optimization problem. It is an important part of examination system. Focus on establishment of intelligent mathematical model to study the genetic algorithm application in the intelligent test construction. To propose a genetic algorithm based on improved methods for intelligent test construction. The result of experiment was shown that the improved algorithm in the intelligent test construction has good usability.

关 键 词：智能组卷 数学模型 遗传算法 适应度函数 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]