An Improved Particle Swarm Optimization Algorithm Based on Fuzzy PID Control

Particle swarm optimization (PSO) is a kind of population evolutionary algorithm with profound intelligent background and the research aimed at its evolution feature and evolution law has great theoretical significance. In this paper, the fuzzy PID controller is introduced into PSO algorithm, and then the fuzzy PID-PSO algorithm is presented. Then six commonly used test functions are applied to verify the effectiveness of fuzzy PID-PSO. Besides, several traditional PSO algorithms are applied to test functions, whose simulation results has proved the effectiveness of fuzzy PID-PSO.