Optimization of Resonant Frequency of Circular Microstrip Antenna with and without Air Gaps Using Bacterial Foraging Optimization Technique

For several years, soft computing tools like Genetic Algorithm(GA), Simulated Annealing and recently Particle Swarm Optimization(PSO) have been the standard procedure for antenna optimization problems because analytical optimization becomes tough and does not provide satisfactory results. In recent times, Bacterial Foraging Optimization (BFO) has been introduced to electromagnetic community for design optimization of patch antennas. In this paper, the novel technique is applied in conjunction with the developed expressions to calculate the resonant frequency of circular microstrip antenna, with and without air gaps, of any dimension and any dielectric substrate. Various parameters of microstrip antenna of different geometry and structure can be calculated using the basic idea of paper as a generalized soft computing tool.