Intelligent course scheduling method and its optimization based on multi-stage heuristic algorithm

The advancement of artificial intelligence technology has brought breakthrough progress to the field of education. A multi-stage heuristic algorithm based intelligent class scheduling method is designed to solve the shortcomings of low efficiency and poor resource utilization in existing class scheduling problems. Research on generating initial shift plans through greedy strategies and optimizing the shift method using simulated annealing algorithm. In order to ensure efficient and reasonable course scheduling for each class, a scheduling method based on competitive search algorithm is raised. The findings denoted that when the number of iterations was 100, the proposed algorithm reduced the objective function by 68.13% compared to the control allocation algorithm. When the number of iterations reached 900, the average value of the course uniformity objective function of the course scheduling algorithm proposed by the research institute decreased by 76.92% compared to the initial value. The outcomes denoted that the raised method has excellent performance in both class allocation optimization and scheduling optimization problems, and has critical theoretical and practical significance for promoting the informatization and intelligence process in the field of education management.