A perturbation particle swarm optimization for the synthesis of the radiation pattern of antenna array

In this paper, a modified particle swarm optimization algorithm is proposed, in which special techniques such as global best perturbation and inertia weight jump threshold are adopted. The convergence speed and accuracy are improved. Using it, the problems such as prematurity and easily trapping in local optima can be avoided. The experiments of some benchmark functions demonstrate that it achieves relatively high performance. Optimization of the radiation pattern of antenna array using the PPSO is also presented.