自动组卷系统中遗传算法的设计与研究  

Research on genetic algorithm design in automatic paper generating system

作　　者：李阿红[1] 

机构地区：[1]咸阳职业技术学院电子信息学院,陕西咸阳712000

出　　处：《电子设计工程》2016年第16期41-42,46,共3页Electronic Design Engineering

摘　　要：基于满足信息时代考试模式改革的要求和保证考试的公正性、有效性的目的,文中在分析研究自动组卷系统中算法设计原则和流程的基础上,通过分析发现遗传算法在组卷时虽性能和效率比有明显提高,但在种群样本使用适应函数为线性时,试题样本种群无法发挥其优势,于是采用初始化进化迭代次数计算器,提高系统的运算速度,利用适应度计算法提高初始种群的适应度,借助选择、交叉和变异的方法提高组卷系统算法的有效性和合理性。To meet the requirements of the examination reform and ensure the fairness, and the effectiveness of the test. The paper points out genetic algorithm can improve the function and the efficiency in generating test paper, but it can not play its advantages in linear function and proposes the speed operation of the system can be improved by initializing iteration number calculator and the fitness of the original population by using fitness algorithm and the effectiveness and the rationality of genetic algorithm in the Automatic System by the selection, the crossing, and the variation.

关 键 词：遗传算法 设计原则 算法设计 组卷算法 

分 类 号：TN02[电子电信—物理电子学]