Design Circular Antenna Arrays With Novel Optimization Technique

Nature-inspired algorithms such as Particle Swarm Optimization and Genetic Algorithm are among the most powerful algorithms for optimization. The newly proposed global evolutionaryoptimization method; namely, the firefly algorithm (FA) is used to determine an optimum set of weights and positions for circular antenna arrays (CAAs) and concentric circular antenna arrays (CCAAs) of isotropic radiators with optimum side lobe level (SLL) reduction is studied. The FArepresents a new algorithm for optimization problems in electromagnetics. It is shown that the FA results provide a SLL reduction that is better than that obtained using well-known algorithms, like the particle swarm optimization, genetic algorithm (GA), and evolutionary programming

کلیدواژه ها:

antenna arrays ، circular arrays ، optimization techniques ، firefly algorithm