一种渐进式的遗传算法在智能组卷中的应用  

Application of a Progressive genetic Algorithm in Generating Test Paper Intelligently

作　　者：李海兵[1] 周春艳[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《中国西部科技》2008年第8期50-51,共2页Science and Technology of West China

摘　　要：智能组卷是一个多约束目标的组合优化问题。针对传统遗传算法在组卷解决问题方面存在的不足,提出了一种渐进式的遗传算法,此算法针对传统遗传算法的不足做了改进,速度和性能都有显著提高,尤其是针对大规模题库的组卷,仿真结果表明这种方法是有效的。Intelligent Test Paper is a multi-bound targets combinatorial optimization problem.Traditional genetic algorithm in Test Paper solve the shortage problem,a progressive genetic algorithm,the algorithm for the shortcomings of traditional genetic algorithm to improve speed and performance have improved significantly,especially for the large-scale Question Test Paper Simulation results show that this method is effective.

关 键 词：渐进式搜索 遗传算法 智能组卷 

分 类 号：O242.23[理学—计算数学] G434[理学—数学]