A New Hybrid Algorithm based on PSO and Fireworks Algorithm for Optimal Design of Metasurface Absorber in RF Energy Harvesting

To tackle the nonlinear, multimodal, and computationally expensive challenges inherent in the optimal design of RF energy harvesters, an innovative hybrid algorithm combining particle swarm optimization and fireworks algorithm is proposed. In the proposed hybrid algorithm, 1) a stretching-and-ejection mechanism is developed to balance exploration and exploitation searches, 2) a self-adaptive inertia weight is introduced to enhance the convergence rate, 3) an elite- preservation strategy is employed to guarantee a global convergence. Also, a new topology of a wideband and dual-polarized metasurface absorber for RF energy harvesting applications is introduced. The feasibilities of the presented work in RFEH applications and design optimizations are validated using a case study.