Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence i.e. PSO (Particle Swarm Optimization) and BG (Bacterial Foraging) has been carried out on the basis

In this paper, the idea of model generation and optimization is explored for PID controller using Evolutionary Algorithms. Keeping in mind the simplicity and robustness of a controller, a noninteracting structure i.e. PI-D controller is used for stabilizing the linear system on the basis of performance indices comprising ITAE (Integral Time Absolute Error), IAE (Integral Absolute Error), ISE (Integral Square Error), ITSE (Integral Time Square Error)