Ant Colony Optimization Based Simulation Analysis of Sports Course Achievement Management System

Abstract

Objectives: With the rapid development of computer technology and network technology, school teaching and management also need to keep pace with the development of the times, and information construction is needed in teaching and management. In the process of campus informationization construction, it is required that all links can be developed in a balanced way, and the school should be built into a scientific platform of information education and teaching from both hardware and software aspects. Methods: Sports achievement management system is based on reducing the workload of physical education teachers, improving teaching efficiency, optimizing the process of students’ class selection, enhancing the identification of students taking part in examinations, saving manpower, financial resources and time compared with the traditional registration model. Results: The ant colony optimization algorithm has achieved encouraging results in solving the combinatorial optimization problem that the traditional optimization method is difficult to work. Therefore, using this algorithm to optimize the simulation analysis of the physical education curriculum management system has better matching characteristics. Conclusion: The system has the characteristics of friendly man-machine interface, easy operation, strong compatibility, fast running speed, etc. It has rich reports and powerful query statistics.