| As the research of intelligent test paper system goes on,people have already seen the combination of Genetic algorithm and other artificial intelligence algorithms and test paper problem.Also applying to Intelligent group volume policy and has made a series of achievements.The online test system makes full use of Web database storage technology,it shows its outstanding advantages in the impromptu and infinite of network space comparing with traditional paper test methods.Intelligent group volume combines the knowledge points raised by experts,and takes the automated test questions in the library using artificial intelligence.This makes a complete set of papers.This paper takes the computer online examination system as the research background,focus on improving the speed and quality of the intelligent group volume system.The application of genetic algorithm in intelligent group volume system is studied.According to the actual needs of online examination system,the main contents of this paper are as follows:Analyse research background and discuss the present situation of domestic and foreign research based on network online examination system.The problem of intelligent group volume is also studied and the mathematical model is analyzed.The application of genetic algorithm in intelligent group volume system is discussed;The basic framework of the system database is designed based on the basic design principles of online examination system,the user’s specific functional requirements,network architecture of the system.The E-R diagram of the test system is given and the database table of user information table,subject table and item type table are optimized.It has designed and implemented the online examination system which has the function of user’s character login,curriculum management,problem database management and students’ online examination referring to the general principles of system development;Select SQL Server 2008 as the database platform for the system using Microsoft’s asp.net as the development tool.The design realizes a smart group volume online examination system.The design and implementation of typical modules are discussed and the black box test method is used to test the performance of the system.The effectiveness of the improved genetic algorithm is validated.This paper presents the following new ideas:Firstly is to optimize the display of the interface through the application of HTML5 and AJAX technology.Secondly,the theoretical model of intelligent group volume system is improved on the basis of genetic algorithms,according to the specific requirements of the examination group volume.This can be used to design a more optimized group volume strategy aiming at improvement of volume efficiency and quality. |