Investigation of particle swarm optimization for switching characterization of inverter design

Having the advantage of being very simple in concept, easy to implement and computationally efficient, particle swarm optimization (PSO) algorithm is a powerful evolutionary computation tool for automated design of integrated circuits. Since circuit design deals with highly complicated nonlinear equations, obtaining optimal solution of these equations due to particular constraints in short time and acceptable error is of prime concern. Simpler structure and better result providing in case of parameter growth makes PSO an ideal candidate for optimal design of circuit topologies. In this work, usage of PSO algorithm in electronic circuit design has been investigated. For this purpose, the performance of the algorithm has been tested on the design of an inverter considering transient performance. Performance criteria of inverter constitute the constraints of PSO. Obtained results show that theoretical design of inverter is matched with PSO based design.