Optimal allocation of innovation and entrepreneurship education resources for local normal education majors based on PSO algorithm

Under the background of modern education innovation, in order to ensure the university innovation entrepreneurship education resources get reasonable configuration, practice application to maximize benefits, the current research scholars to build the education resources input and output of the evaluation index system, and proposed the corresponding function model, need to use particle swarm optimization algorithm for the simulation analysis. The final experimental results show that the allocation analysis using particle swarm optimization algorithm can further improve the application efficiency of innovation and entrepreneurship education resources in colleges and universities, ensure the results of resource allocation, and provide an effective basis for the innovation of modern college education.