Design and implementation of creation system for test paper based on genetic algorithm
基于遗传算法的试卷生成系统的设计与实现

The education measurement theory was the basis of the system and the constraint conditions of generating test paper were analyzed. It used binomial distribution of discrete type random variable in the difficulty-fraction correspondence relational model and adopted adaptive genetic algorithm to generate and optimize test paper. It used a plug-in card of WebEditor and simulated the Word environment to realize the operations on questions and test papers, thus making the proposition environment more traditional. It used Hibernate on the mapping between object and relation, improving database accessing efficiency. It implemented the system using Java language, which showed better transplantation and stability.