A multi-swarm approach to multiobjective synthesis of linear antenna array design

Research in the synthesis of antenna is starting to pay attention to optimize the multiobjective problems. While evolutionary algorithms has obtained some satisfactory performance, there still be necessary to make further improvements especially on the suppression of premature. In this paper, we introduce the multi-swarm technique into the multiobjective particle swarm optimization and present a MOP approach to linear array antenna design. Two objective functions concerning sidelobe level and nulls control is considered in the optimization. The result of comparison experiments proves that the proposed method can achieve better performance in multiobjective antenna synthesis, meanwhile, indicates the advantages and applicability in practical MOP applications.