Design of higher mathematics teaching system based on particle swarm optimization algorithm

In the traditional resource scheduling method, the resource scheduling process is not stable enough. In order to improve stability and realize higher mathematics teaching resource scheduling and reasonably configure parameters, the method of fusion particle swarm is needed. The higher mathematics teaching system is constructed based on the fusion of particle groups, which is mainly designed to ensure the stable scheduling of higher mathematics teaching resources by extracting the autocorrelation features of teaching resources, matching the related features and using statistical analysis methods. The results of the simulation test show that the higher mathematics teaching resource scheduling based on the fusion particle group has a higher matching degree, and shows a very high superiority in the resource scheduling. In addition, it is proved that controlling and managing and analyzing the feature combination in particle groups can realize information fusion while realizing resource scheduling and optimize the management level of higher mathematics teaching system.