A novel immune genetic algorithm for antenna design

The immune genetic algorithm (IGA) was introduced into the fast optimization of antenna design.By employing antigen recognition,concentration regulation as well as memory mechanism,and adopting a new hybrid encoding to simplify the description of antenna structure and the operations of crossover and mutation;the fast optimization of antenna structure was realized.;The simulation of ST5 satellite antenna was carried out to verify the proposed method.Results show that the iteration times are reduced evidently in the antenna design,the convergence rate is sped up about 50%-60%.The maximum and minimum average gains for the designed antenna at 8.47 GHz are increased by 119.91% and 258.89%,respectively.Compared with traditional genetic algorithms,IGA overcomes their shortcomings in local search and avoids the problem of immature convergence,which proves the effectiveness of IGA in the antenna design.