Design And Implementation Of Intelligent Test Paper Generation System Based On Improved Genetic Algorithms

With the deepening and reform of China's higher education,the number of students also reached a new record,thus the complexity and workload to organize the examination is increasing,and to complete the task many schools have to start exams in advance every year.In order to improve the quality the of test paper,make the test more scientific,standardized and intelligent,and also make it more convenient and efficient for teachers to arrange papers,this dissertation studies and develops an intelligent test paper system.Through this platform,the informative,networked,systematic and standardized management of examination papers will be realized.Firstly,this dissertation expounds the research background and significance,summarizes and analyzes the research status of intelligent test paper system at home and abroad,then analyzes the demand of the system,verifies the feasibility from economy and technology.Secondly,Based on modular design,the overall design of database structure is carried out.This dissertation mainly introduces the realization process of the intelligent test paper generating function.When designing the function,the constraints of various conditions are fully taken into account,firstly.On this basis,the mathematical model is built and the fitness function is designed to achieve the purpose of obtaining the optimal solution.In addition,the system is globally optimized by calculating the probability of cross.compilation.The actual test shows that the intelligent test paper management system has good performance,The intelligent test paper management system with adaptive genetic operators has better stability and faster running speed.It has broad application prospects in future education and teaching work.