Comparative Study of Evolutionary Algorithms for the Optimum Design of Thin Broadband Multilayer Microwave Absorber for Oblique Incidence

With the increasing levels of Electromagnetic pollution almost exponentially in this modern age of Electronics reported and highlighted by numerous studies carried out by scientists from all over the world, inspire engineers to concentrate their research for the optimum design of multilayer microwave absorber considering various parameters which are inherently conflicting in nature. In this paper we mainly focus on the comparative study of different Evolutionary algorithms for the optimum design of thin broadband (2-20GHz) multilayer microwave absorber for oblique incidence (30 0 ) considering arbitrary polarization of the electromagnetic waves. Different models are presented and synthesized using various Evolutionary algorithm namely Firefly algorithm (FA), Particle swarm optimization (PSO), Artificial bee colony optimization (ABC) and the best simulated results are tabulated and compared with each others.