| 网络考试系统中算法的优化 |
| |
| 引用本文： | 杨志刚.网络考试系统中算法的优化[J].包钢科技,2006,32(1):91-92. |
| |
| 作者姓名： | 杨志刚 |
| |
| 作者单位： | 华北电力大学计算机科学与技术学院,河北,保定,071003 |
| |
| 摘 要： | 目前网络在教学管理中的作用越来越重要,而在网络教学中,网络考试系统是重要的组成部分之一.如何提高网络考试系统中组卷速度及质量,核心是组卷算法.目前在各种自动组卷算法中,组卷质量较好的是遗传算法,但遗传算法在理论和应用方法上仍有许多亟待完善之处,文中提出了一种优化的改进的遗传算法.
|
| 关 键 词： | 网络考试系统 遗传算法 交叉概率 自适应变异概率 |
| 文章编号： | 1009-5438（2006）01-0091-02 |
| 收稿时间： | 2005-07-29 |
| 修稿时间： | 2005-07-29 |
Optimized Algorithms in Network Examination System |
| |
| YANG Zhi-gang.Optimized Algorithms in Network Examination System[J].Science & Technology of Baotou Steel(Group) Corporation,2006,32(1):91-92. |
| |
| Authors: | YANG Zhi-gang |
| |
| Affiliation: | School of Computer Science Technology, North China Electric Power University, Baoding 071033, Hebei Province, China |
| |
| Abstract: | At present, network is playing an increasingly important role in education and teaching management. The network examination system is an essential part of network teaching. The key of improving the speed and quality of computer - assisted test paper generation is algorithm. At present, among various automatic algorithms of computer - assisted test paper generation, genetic algorithm is of better quality and higher efficiency. But, there is much room for improving genetic algorithm in both its theory and application methods and an optimized genetic algorithm is proposed in this paper. |
| |
| Keywords: | Network examination system Genetic Algorithms Crossover probability Adaptive mutation probabilityZ |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
