微型电脑应用2013，Vol.30Issue(5)：36-38,3.
基于混合智能算法的组卷策略研究
Research on Test Paper Generating Strategy Based on Hybrid Intelligent Algorithm
摘要
Abstract
This paper presents a strategy of generating test paper based on hybrid intelligent algorithm.It combines the calculation advantages of neural networks and improved genetic algorithm (GA) with the model of automatic test paper generation.Use the ideal test paper for the client as training samples,neural networks can self-study the weight of each index,and obtain the weight matrix,which can be used in the design of fitness function of the GA.The coding scheme and the genetic operators of GA are modified.The experimental results show that,the algorithm can solve the problem of test paper generation effectively and efficiently.关键词
神经网络/改进遗传算法/智能组卷Key words
Neural Networks/ Improved Genetic Algorithm/ Intelligently Generation of Test Paper分类
信息技术与安全科学引用本文复制引用
东苗..基于混合智能算法的组卷策略研究[J].微型电脑应用,2013,30(5):36-38,3.基金项目
上海高校青年教师培养资助计划(xjz11004) （xjz11004）
