The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …

Artificial neural networks (ANNs) are information processing systems, with their design
inspired by studies of the ability of the human brain to learn from observations and …

Objective functions that appear in engineering practice may come from measurements of
physical systems and, more often, from computer simulations. In many cases, optimization of …

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 …

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 …

Space map** is a recognized method for speeding up electromagnetic (EM) optimization.
Existing space-map** approaches belong to the class of surrogate-based optimization …

In this letter, a reliable procedure for the expedited design optimization of antenna structures
by means of trust-region adaptive response scaling (TR-ARS) is proposed. The presented …

A computationally-efficient procedure for multi-objective design of antenna structures is
presented. Our approach exploits the multi-objective evolutionary algorithm (MOEA) working …

The most widely used space map** approach to efficient design optimization is the
aggressive space map** (ASM) algorithm. My purpose here is to present both a historical …