Advanced RF and microwave design optimization: A journey and a vision of future trends

JE Rayas-Sánchez, S Koziel… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
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 …

Expedited yield optimization of narrow-and multi-band antennas using performance-driven surrogates

A Pietrenko-Dabrowska, S Koziel, M Al-Hasan - IEEE Access, 2020 - ieeexplore.ieee.org
Uncertainty quantification is an important aspect of engineering design, also pertaining to
the development and performance evaluation of antenna systems. Manufacturing tolerances …

Power in simplicity with ASM: Tracing the aggressive space mapping algorithm over two decades of development and engineering applications

JE Rayas-Sanchez - IEEE Microwave Magazine, 2016 - ieeexplore.ieee.org
The most widely used space mapping approach to efficient design optimization is the
aggressive space mapping (ASM) algorithm. My purpose here is to present both a historical …

EM-based Monte Carlo analysis and yield prediction of microwave circuits using linear-input neural-output space mapping

JE Rayas-Sanchez… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
A computationally efficient method for highly accurate electromagnetics-based statistical
analysis and yield estimation of RF and microwave circuits is described in this paper. The …

Performance-driven yield optimization of high-frequency structures by kriging surrogates

S Koziel, A Pietrenko-Dabrowska - Applied Sciences, 2022 - mdpi.com
Uncertainty quantification is an important aspect of engineering design, as manufacturing
tolerances may affect the characteristics of the structure. Therefore, the quantification of …

Tolerance-aware multi-objective optimization of antennas by means of feature-based regression surrogates

S Koziel, A Pietrenko-Dabrowska - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Assessing the immunity of antenna design to fabrication tolerances is an important
consideration, especially when the manufacturing process has not been predetermined. At …

3D EM data driven surrogate based design optimization of traveling wave antennas for beam scanning in X-band: an application example

A Belen, F Günes, M Palandoken, O Tari, MA Belen… - Wireless …, 2022 - Springer
In this paper, design and optimization of a microstrip elliptic traveling wave antenna (TWA)
are presented for the beam scanning in X-band as an application of 3D data driven …

Tolerance optimization of antenna structures by means of response feature surrogates

S Koziel, A Pietrenko-Dabrowska - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fabrication tolerances and other types of uncertainties, eg, the lack of precise knowledge of
material parameters, have detrimental effects on the electrical and field performance of …

Eye diagram contour modeling using multilayer perceptron neural networks with adaptive sampling and feature selection

CH Goay, A Abd Aziz, NS Ahmad… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article presents a methodology for the modeling of high-speed systems using machine
learning methods. A multilayer perceptron neural network is used to map the input-output …

Surrogate-based design optimization of multi-band antenna

A Belen, Ö Tarı, P Mahouti, MA Belen… - Applied Computational …, 2022 - dspace.arel.edu.tr
In this work, design optimization process of a multi-band antenna via the use of artificial
neural network (ANN) based surrogate model and meta-heuristic optimizers are studied. For …