Ultra-Wideband Antenna Design for RF Energy Harvesting Applications Using the Bald Eagle Search Algorithm

RF energy harvesting is constantly expanding in the field of low-power wireless sensors, as it provides a viable and cost-reduction solution for hard-to-maintain cases. In the meantime, significant progress has been made in the field of evolutionary optimization, with brand new and more intelligent optimization algorithms being published, with the Bald Eagle Search Algorithm (BES) being one of them. In this work, an ultra-wideband antenna for RF energy harvesting is optimized using the BES algorithm to maintain its wideband characteristics, while minimizing the complexity of its design.