首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进的伪并行遗传算法的智能组卷的研究
引用本文:郭立新,谢克明. 基于改进的伪并行遗传算法的智能组卷的研究[J]. 科学之友, 2009, 0(6): 91-93
作者姓名:郭立新  谢克明
作者单位:太原理工大学信息工程学院;山西煤炭职业技术学院;
摘    要:传统的组卷方式存在组卷时间长、成功率低等缺点,本文提出了一种基于改进的伪并行遗传算法的智能组卷策略,其组卷时间短、成功率高,具有很好的性能和实用性。同时可以提高试卷质量,增加了考试的科学性和客观性,对考试工作的顺利实施具有重要的实际意义。

关 键 词:试题库  组卷  遗传算法  伪并行  精英个体

Research on an Intelligent Generating Papers based on the Improved Pseudo-Parallel Genetic Algorithm
Guo Lixin,Xie Keming. Research on an Intelligent Generating Papers based on the Improved Pseudo-Parallel Genetic Algorithm[J]. Friend of Science Amateurs, 2009, 0(6): 91-93
Authors:Guo Lixin  Xie Keming
Affiliation:Guo Lixin, Xie Kerning
Abstract:The traditional way of test paper composition has many flaws, for example the time test paper composition needed is long and the efficiency is low.This paper proposed a improved Pseudo-Parallel Genetic Algorithms, it needs short time in test papers composition and has a high success ratio, and has fine function and usability.Simultaneously it improved the test papers'quality and the test becomes more scientific and objective, has a vital practical significance to implement the work smoothly.
Keywords:item bank  paper-design  genetic algorithm  Pseudo-Parallel  the best individual  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号