Comparative performance analysis of GA, PSO, CA and ABC algorithms for ractional PIλDμ controller tuning

This paper presents a comparison of some well-known global optimization techniques' performance. The purpose of the comparison is to find the best algorithm for optimization. Parameters optimization was conducted in order to achieve better results in PID fractional controller. The proposed techniques are Genetic algorithm (GA), particle swarm optimization (PSO), culture algorithm (CA) and artificial bee colony algorithm (ABC), these techniques are used to approximate the parameters of the fractional order PI
^λ
D
^μ
controller.