Intelligent Student Management Information System Based on Genetic Algorithm

In order to solve the problem that existing scheduling software cannot generate the best scheduling plan under multiple constraints as schools continue to expand, the author proposes an intelligent student management information system based on genetic algorithm. Using genetic algorithm as the core algorithm for scheduling processing, studying various constraint conditions, constructing fitness functions, realizing automatic generation of scheduling plans, and using this as the center, constructing an intelligent scheduling system based on the network to solve the scheduling problem of large university academic affairs departments. The test results show that under different scheduling conditions and rules, the satisfaction rate of student course selection reaches 98%, and the average overall rule satisfaction rate reaches 95.8%. The overall satisfaction rate of course scheduling efficiency in the intelligent scheduling system has been improved to 98%. Conclusion: This method provides new ideas and methods for intelligent course scheduling problems, making the management system of university course scheduling more intelligent, improving the rational allocation of teaching resources and the completion of educational and teaching plans.