WCA-Based Antenna Design via Joint HFSS-Matlab Optimization

In this paper, the water cycle algorithm (WCA) is introduced to the antenna design by jointly HFSS-Matlab optimization. In particular, the HFSS workbench is combined with the Matlab workbench via HFSS-Matlab-Api during the antenna design procedure. The effectiveness of the WCA in antenna design is verified by designing a representative antenna, i.e., a dual-band E-shaped patch antenna. Numerical results show that the WCA outperforms the well-known differential evolution (DE) and self-adaptive differential evolution (SADE) algorithms in generating competitive results with high speed.