Harris Hawks Optimization Algorithm for Waveguide Filter Designs

We apply a novel algorithm, Harris Hawks optimization (HHO), to the optimization problem of waveguide filters. In order to investigate the efficiency, particle swarm optimization(PSO), differential evolution(DE), and self-adaptive differential optimization(SaDE) are considered to optimize a fourth-order dual-mode waveguide filter as well. Unlike standard PSO, DE, and SaDE, HHO utilizes a hybrid updating strategy to balance the exploiting and exploration phase during the optimization. Therefore, HHO can jump out of a local minimum and converge to the globally optimal solution with a higher probability. The statistical comparison between different algorithms shows that HHO converges faster than the other algorithms. The optimization result also indicates that HHO obtains the best solution, which demonstrates that HHO has the potential to solve sophisticated optimization problems of various electromagnetism devices.