基于蜘蛛蜂优化算法的直线阵列方向图综合OA

Traditional array antenna pattern synthesis methods suffer from slow convergence speed,high computational complexity,and limited capabilities in sidelobe suppression and null formation when dealing with multi-constraint optimization problems.In view of this,the spider wasp optimizer(SWO)is firstly applied to array antenna pattern synthesis problems and two optimization strategies are designed.The one is a single-objective optimization technique aimed at minimizing sidelobe levels,which separately optimizes excitation amplitudes and element positions,as well as their joint optimization.The other is a multi-objective optimization strategy based on weighted objective functions,which aims at achieving low sidelobe levels and deep nulls,and synchronously optimizes excitation amplitude and element position parameters.Numerical simulations verify that the SWO demonstrates fast convergence characteristics and superior pattern performance in solving pattern synthesis problems,providing a new technical approach for pattern synthesis.