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The main aim of this paper is to analyse the implementation of two Evolutionary Computation (EC) techniques viz. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for optimal tuning of PID controllers parameters and enumerate their advantages over the conventional tuning methodologies. The two techniques were implemented and analysed on a third order plant model of a DC servomotor with the aim of developing a position controller. The results obtained from GA and PSO algorithms were compared with that obtained from Ziegler Nichols method. It was found that the evolutionary computation techniques outperformed traditional tuning practices of Zeigler-Nichols at tuning of PID controllers.