The Design and Implementation of Genetic Algorithm with Directed Mutation in Intelligent Generating Test Paper System

摘要：

In order to solve the problems of genetic algorithm in intelligent generating test paper system, such as slow generating speed, low success probability, and local optimum and so on, this paper presents genetic algorithms with directed mutation which leads mutation to a given direction. Directed mutation retains the advantages of mutation operator, avoids breaching the positive characteristics of individual, makes genetic algorithm attain better performance, and improves the efficiency and quality of intelligent generating test paper system. Experimental results show that intelligent generating test paper system using genetic algorithm with directed mutation not only has the advantages of global optimization and good convergence, but also enhances the speed of intelligent generating test paper and the quality of the paper.

关键词： On-line Exam System genetic algorithm,intelligent generating test paper directed mutation

作者: Yongming Li Dong Li

作者单位: Computer Science and Technic Department of Pingdingshan University Pingdingshan,Henan,China Computer and Information Engineering Department of Xinxiang University Xinxiang,Henan,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 159-162

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）