摘要
Abstract
Aiming at the problems existing in the test paper speed and quality of the traditional random test paper model,this paper improves the traditional genetic algorithm,and proposes a new intelligent test paper system based on improved genetic algo-rithm.Based on the constraint of the test paper,test paper build mathematical model,and to test individual attribute values are pre-served by genetic encoding method,so as to improve the operation rate,for the test process of knowledge points to the conflict,the variation strategy and cross sectional multi point strategy for optimization,at the same time to solve the problem of population diver-sity,a large the ratio of crossover and mutation strategy,so as to improve the test speed.Finally with the C#language and Mysql da-tabase to achieve the test paper system,greatly improve the quality and speed of the test paper.关键词
遗传算法/智能组卷/遗传编码/适应度函数/组卷质量Key words
genetic algorithm/intelligent generating test paper/genetic coding/fitness function/test paper quality分类
信息技术与安全科学
