Sidelobe and beamwidth optimization of linear antenna arrays with symmetric relocation boundary condition of PSO

Boundary conditions in particle swarm optimizers are an important algorithmic part which can constrain the particles within the solution space which increases their scope of participation in solution finding process. Usually, velocities of the particles are regulated to bring them back to solution space; Here the basic approach of regulating the position of particles is different than the conventional approaches, particles which go out of solution place are relocated inside by maintaining symmetry about the boundary. A twelve element linear antenna array is taken as the optimization target for the reduction of side lobes in the radiation pattern without increase in the mainlobe beamwidth. Results of the proposed boundary condition show better performance in terms of better global solution and quicker convergence compare to the other established boundary algorithms.