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Application of Swarm Intelligence Optimization Algorithm in Antenna Design

Traditional intelligent algorithm cannot optimize multiple parameters at the same time, so the optimization effect is poor. In order to solve such problem, swarm intelligence optimization algorithm is used in the antenna design. By analyzing the influence parameters, we design the objective function and adopt chaos optimization algorithm to optimize the initial population selection of particle swarm optimization. Then, according to the actual design requirements, the improved particle swarm optimization(PSO) algorithm is used to solve multiple optimization problems, and the optimal design of the antenna is also realized. The simulation results show that our scheme optimizes the design effect, and the antenna has larger directional gain, which effectively improves the comprehensive performance of antenna.