Optimization of Broadband Patch Antenna Based on Mind Evolutionary Algorithm

Antenna designers should have enough experience in traditional antenna design, and its efficiency was low. Evolutionary algorithm could improve the efficiency of designing antenna. The Mind Evolutionary Algorithm (MEA) was combined with HFSS based on finite element method and applied in antenna optimization. Antenna parameters are optimized by MEA, with the simulation performance of HFSS as the fitness function of MEA to direct the evolutionary. Then an E- broadband microstrip antenna was designed and the efficiency of this method was proved. Simulation showed that the impedance bandwidth of the antenna optimized by MEA could increase of about 4% than traditional method, the return loss was lower in the passband and the gain in the center frequency was higher.