改进的遗传算法在智能组卷中的应用研究  

Research on the Application of Improved Genetic Algorithm on an Intelligent Generating Papers

作　　者：叶颖泽[1] 章英[2] 

机构地区：[1]华中农业大学现代教育技术中心,武汉430070 [2]华中农业大学理学院计算机系,武汉430070

出　　处：《现代计算机》2008年第6期37-39,63,共4页Modern Computer

摘　　要：讨论智能组卷问题求解的理论模型,根据人工智能中的遗传算法的原理和思想,通过采用新的编码方式、交叉算子和变异算子等方法,利用自适应遗传算法实现单套和成批试卷生成。通过实例分析,实验结果表明该组卷方法具有组卷成功率高和组卷速度快的优点。Discusses the theoretical model which the question of the intelligent generating test paper, according to the artificial intelligence in genetic algorithm principle and the thought, realizes single and group generating test paper using adaptive genetic algorithm by adopting new code method, crossover and mutation operator. Through analysis of the example, the experimental result shows that new method can solve the problem of test paper auto-generation effectively and efficiently.

关 键 词：人工智能 组卷系统 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]