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

Design of contemporary antenna structures heavily relies on electromagnetic (EM)
simulations. Accurate reflection and radiation responses of many antenna geometries can …

In this article, a computationally efficient procedure for electromagnetic (EM)‐simulation‐
driven design of antennas is presented. Our methodology is based on local approximation …

This paper introduces a surrogate model based algorithm for computationally expensive
mixed-integer black-box global optimization problems with both binary and non-binary …

Characteristic mode (CM) analysis is carried out to understand the underlying physics of two
popular circularly polarized (CP) microstrip patch antennas, namely U-slot and E-shaped CP …

This paper proposes a learning framework for single-hidden layer feedforward neural
networks (SLFN) called optimized extreme learning machine (O-ELM). In O-ELM, the …

Characteristic mode analysis (CMA) can be used in antenna designs to solve radiation
problems. This review focuses on the existing development methodologies for circularly …

A high convergence rate and a robust exploration ability constitute a contradiction in modern
heuristic optimization techniques. This paper describes a modified differential evolution …

A two-stage approach based on Gaussian process regression that achieves significantly
reduced requirements for computationally expensive high-fidelity training data is presented …

Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or
groups in nature. In this work, three representative examples of SI algorithms have been …