Simulation of Teaching Management Data System Based on PSO Algorithm

Swarm intelligence algorithms have developed rapidly in recent years, and are widely used in solving complex practical problems, such as decentralized control centers, high conditional coupling or inability to establish system models. Particle swarm optimization (PSO) algorithm is an optimization method based on swarm intelligence, which originates from the study of the motion behavior of birds. Because of its simple principle, convenient program design, small number of parameters and no strong coupling relationship, PSO has become a hot topic in the field of control optimization. In the management of each university, the teaching management data system is the core part of the whole campus information construction, which is mainly responsible for managing the learning situation of all students, the teaching situation of teachers and the unified management and configuration of the use of teaching resources. Therefore, how to make better use of computers as an auxiliary management means to develop a stable and efficient management system is the key problem faced by the current campus information construction. According to the actual needs of college teaching management, a college teaching management data system is developed and designed to help universities better manage college students. This paper uses PSO algorithm to study the teaching management data system.