基于改进GAAA算法的煤矿企业在线智能考试系统  

Online intelligent examination system of coal mine enterprises based on improved GAAA algorithm

作　　者：郝秦霞[1] 汪阳[2] 李国民[1] 靳甜甜[3] 

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710054 [2]西安科技大学高新学院,陕西西安710054 [3]西安科技大学管理学院,陕西西安710054

出　　处：《工矿自动化》2015年第7期25-30,共6页Journal Of Mine Automation

基　　金：电子信息产业发展基金资助项目(XDJ2-05140-27);陕西省教育厅专项科研计划资助项目(14JK1457)

摘　　要：在分析煤矿企业员工实际考试需求的基础上,提出了一种煤矿企业在线智能考试系统。首先构建了针对煤矿员工职业特点的Web考试系统,优化系统功能;其次提出了对遗传算法与蚂蚁算法融合的GAAA算法的改进方案,即首先对蚁群信息素进行更新,再利用遗传算法的全面搜索和蚂蚁算法的并行分布特性搜索试题库,对煤矿考试试题库进行组卷优化;最后将改进的GAAA算法应用于在线智能考试系统,实现了煤矿企业员工随时、随地考试以及试题自动组卷功能。实际应用表明,该系统组卷速度快,试题重复率低,算法正确可行,能有效完成煤矿企业员工在线考试的实际需求,提高了煤矿企业考试效率。An online intelligent examination system of coal mining enterprises was proposed based on analysis of actual examination requirements of enterprise employees.A Web examination system is built firstly according to professional characteristics of the employees,and the system is optimized functionality.Secondly,GAAA algorithm integrated with genetic algorithm and ant algorithm is improved.The improved GAAA algorithm firstly updates ant colony pheromone,then searches test database by a comprehensive search of genetic algorithm and parallel distribution of ant algorithm for optimizing group volume of the database.At last,the improved GAAA algorithm is applied in the system to achieve examination of employees at anytime they like and anywhere they are and auto-generating examination paper.The practical application shows that speed of auto-generating examination paper of the system is high,repetition rate is low,the algorithm is feasible,and the system can meet practical requirements of online examination effectively and improve online examination efficiency of coal mine enterprise.

关 键 词：煤矿企业 员工考试 GAAA算法 自动组卷 

分 类 号：TD67[矿业工程—矿山机电]