A Novel Hybrid Evolutionary Algorithm For Pattern Synthesis In Time-Modulated Antenna Arrays

A hybrid Invasive Weed Optimization (HIWO) algorithm for pattern synthesis of time-modulated antenna arrays (TMAA) is presented by embedding the simplified quadratic approximation (SQA) into classical IWO in this paper. The proposed HIWO algorithm is applied to optimize the pulse durations of the time-modulated elements to achieve low sidelobe level, narrow first null beam width and low sideband level. Simulation results are compared with the results of existing literature to illustrate the advantages of the proposed HIWO algorithm.