Since the end of the 19th century, radioelectronic devices (REDs) have actively penetrated
into all modern community spheres. Achievements in the fields of radio engineering and …

A review of evolutionary algorithms (EAs) with applications to antenna and propagation
problems is presented. EAs have emerged as viable candidates for global optimization …

A thorough and insightful introduction to using genetic algorithms to optimize
electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the …

The grey wolf optimizer (GWO) is a newly developed swarm intelligence-based optimization
technique that mimics the social hierarchy and group hunting behavior of grey wolves in …

A prior-knowledge-guided deep-learning-enabled (PK-DL) synthesis method is proposed for
enhancing the transmission bandwidth and phase shift range of metacells used for the …

This paper presents a novel evolutionary optimization methodology for multiband and wide-
band patch antenna designs. The particle swarm optimization (PSO) and the finite-difference …

A new method of optimization recently made popular in the evolutionary computation (EC)
community is introduced and applied to several electromagnetics design problems. First, a …

Radio frequency energy harvesting has attracted considerable interest as a technique of
enabling self-powered wireless networks. This technique faces several challenges, such as …

In this paper, we present an efficient Hierarchical Parallel Genetic Algorithm framework
using Grid computing (GE-HPGA). The framework is developed using standard Grid …

In this study, we exploit genetic algorithms to design a rectenna required to harvest ambient
radio‐frequency (RF) energy from four different RF bands in critical (ultra‐low power) …