The Design And Implementation Of Intelligent Online Exam System Based On Genetic Algorithm

Nowadays, with the continuous development of computer technology, computer and other fields has been deeply combined. With the fast development, the computer aided teaching system had got increasingly attention, it has been concluded that the unit volume algorithm is most widely used in computer smart group volume and online exam system, this method has a random effect and can hardly control the difficulty degree of the examination paper, besides, this method has a bad stability, so it could hardly meet the needs of users.Along with the deepening of the research on intelligent group volume system, people have begun to combine the artificial intelligence algorithms such as genetic algorithm with the group problem, and apply into the strategies of intelligent test paper, which had obtained a series of research results. Based on computer smart group volume and online examination system, this paper focused on improving the smart group volume system problem such as the group velocity and the group quality, further studying of the genetic algorithm in the application of the smart group volume system. Paper work mainly includes the following aspects:(1) Analyzed the research background, the smart group volume system is discussed and the research status at home and abroad. Analyses the problem of intelligent test paper is studied, and the mathematical model, this paper discusses the application of genetic algorithm in the problem of intelligent test paper.(2) Based on the analysis of the group problem constraints, the genetic algorithm based on real number matrix coding method is proposed, this method can save the examination paper of individual attribute values, thus enhance the operational efficiency of the algorithm.(3) In the group in the process of knowledge conflicts, in this paper, the traditional genetic algorithm was improved, mainly the mutation operator of genetic algorithm was improved, and hybrid operator respectively presented based on piecewise multipoint mutation strategy and hybrid strategy.(4) In view of the problem of population diversity of genetic algorithm, this paper puts forward an algorithm of the initial population, the method is fully introduced a greater chance of hybridization and mutation strategy, thus effectively improve the speed of the smart group volume.(5) With Microsoft’s ASP.NET as a development tool, select SQL Server2005as the database platform, system design and implements a smart group volume online examination system, the design and implementation process of typical modules are discussed, taking black box testing method to test the performance of the system. The improved genetic algorithm for the validation.