Research on the application of particle swarm optimization algorithm in anomaly detection

This paper mainly research on the application of the particle swarm optimization algorithm in anomaly detection, including the PSO algorithm combined with clustering method, PSO with neural networks, PSO with support vector machines and a single PSO algorithm. It analyzes the advantages and disadvantages of each algorithm, and presents the development of application of the particle swarm algorithm in anomaly detection research.