Creative Algorithm For optimization Circular Antenna Arrays

Nature-inspired algorithms such as Particle SwarmOptimization and Genetic Algorithm are among the most powerfulalgorithms for optimization. The newly proposed globalevolutionary optimization method; namely, the firefly algorithm(FA) is used to determine an optimum set of weights and positionsfor circular antenna arrays (CAAs) and concentric circular antennaarrays (CCAAs) of isotropic radiators with optimum side lobe level(SLL) reduction is studied. The FA represents a new algorithm foroptimization problems in electromagnetics. It is shown that the FAresults provide a SLL reduction that is better than that obtainedusing well-known algorithms, like the particle swarm optimization,genetic algorithm (GA), and evolutionary programming.