This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …

Gaussian process (GP) is a very popular machine learning method for online surrogate-
model-assisted antenna design optimization. Despite many successes, two improvements …

The importance of surrogate modeling techniques has been steadily growing over the recent
years in high-frequency electronics, including microwave engineering. Fast metamodels are …

Metasurfaces find a wide variety of applications in the last decades due to their powerful
ability to manipulate electromagnetic (EM) waves. Traditional approaches for metasurface …

In recent times, neural networks (NN) have been successfully utilized to model real-world
engineering problems. However, complexities in constructing an optimal NN architecture …

This paper introduces a novel algorithm for designing a low-pass filter (LPF) and a microstrip
Wilkinson power divider (WPD) using a neural network surrogate model. The proposed …

An ensemble-learning-based multiobjective optimization is proposed for antenna design. By
integrating the local search into multiobjective evolutionary algorithm based on …

The design of miniaturized microwave components is largely based on computational
models, primarily, full-wave electromagnetic (EM) simulations. The EM analysis is capable of …

This book discusses response feature technology and its applications to modeling,
optimization, and computer-aided design of high-frequency structures including antenna …

The importance of numerical optimization techniques has been continually growing in the
design of microwave components over the recent years. Although reasonable initial designs …