The study of intelligent organizing papers based on improved genetic algorithm

With the development of computer and network technique, no-paper examination has received widely application, such as driving license exam and professional ranks and titles computer exam nearby us. In order to ensure the equity and justness, the issue of organizing papers causes more and more attention. Intelligent Organizing Papers is a combination problem under various constraints. There are still many unideal aspects of the effect, though the technique of organizing papers has high speed development. This thesis focuses on the application of genetic algorithm in organizing papers, and proposes an improved genetic algorithm which increases the efficiency and quality of organizing papers.