This article provides an overview of multi-fidelity modeling trends. Fidelity in modeling refers
to the level of detail and accuracy provided by a predictive model or simulation. Generally …

In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …

This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-
based electromagnetic (EM) optimization technique exploiting trust-region algorithms for …

Multi-fidelity (MF) metamodeling approaches have attracted significant attention recently for
data regression because they can make a trade-off between high accuracy and low …

Multi-fidelity (MF) surrogate models have shown great potential in simulation-based design
since they can make a trade-off between high prediction accuracy and low computational …

Numerical optimization has been ubiquitous in antenna design for over a decade or so. It is
indispensable in handling of multiple geometry/material parameters, performance goals …

Development of modern high-frequency components and circuits is heavily based on full-
wave electromagnetic (EM) simulation tools. Some phenomena, although important from the …

A general formulation to develop electromagnetic-based polynomial surrogate models in the
frequency domain utilizing the multinomial theorem is presented in this paper. Our approach …

Space mapping is a recognized surrogate-based optimization method to accelerate the
electromagnetic (EM) design. In this article, for the first time, space mapping is elevated from …

The multi-output Gaussian process (MOGP) modeling approach is a promising way to deal
with multiple correlated outputs since it can capture useful information across outputs to …