A HYBRID METHOD BASED ON DIFFERENTIAL EVOLUTION AND CONTINUOUS ANT COLONY OPTIMIZATION AND ITS APPLICATION ON WIDEBAND ANTENNA DESIGN

An evolutionary learning algorithm based on differential evolution strategy (DES) and continuous ant colony optimization (CACO) for wideband antenna design is proposed. The advantages of this hybrid method are demonstrated with several mathematical functions and a linear array pattern synthesis. This method is applied to design an E-shaped wideband patch antenna, which achieves the impedance bandwidth 4.8 ~ 6.53 GHz. We compare the hybrid method with the traditional DES and CACO optimization algorithms, and the advantage of this hybrid method over the DES and the CACO is also demonstrated.