Kriging assisted surrogate evolutionary computation to solve optimal power flow problems

Z Deng, MD Rotaru, JK Sykulski - IEEE Transactions on power …, 2019 - ieeexplore.ieee.org
This paper proposes a Kriging assisted strategy to expedite evolutionary computation for
solving Optimal Power Flow (OPF) problems. First, two algorithms were developed-a Kriging …

A benchmark TEAM problem for multi-objective Pareto optimization in magnetics: The time-harmonic regime

P Di Barba, F Dughiero, M Forzan… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The study presented in this article reformulates and generalizes the TEAM benchmark,
originally proposed for multi-objective optimization of magnetic devices under dc conditions …

Surrogate modeling of impedance matching transformers by means of variable‐fidelity electromagnetic simulations and nested cokriging

A Pietrenko‐Dabrowska, S Koziel - International Journal of RF …, 2020 - Wiley Online Library
Accurate performance evaluation of microwave components can be carried out using full‐
wave electromagnetic (EM) simulation tools, routinely employed for circuit verification but …

On improved-reliability design optimization of high-frequency structures using local search algorithms

S Koziel, A Pietrenko-Dabrowska, P Plotka - IEEE Access, 2022 - ieeexplore.ieee.org
The role of numerical optimization has been continuously growing in the design of high-
frequency structures, including microwave and antenna components. At the same time …

Fast EM-driven parameter tuning of microwave circuits with sparse sensitivity updates via principal directions

A Pietrenko-Dabrowska, S Koziel - Knowledge-Based Systems, 2022 - Elsevier
Numerical optimization has become more important than ever in the design of microwave
components and systems, primarily as a consequence of increasing performance demands …

Global miniaturization of broadband antennas by prescreening and machine learning

S Koziel, A Pietrenko-Dabrowska, U Ullah - Scientific Reports, 2024 - nature.com
The development of contemporary electronic components, particularly antennas, places
significant emphasis on miniaturization. This trend is driven by the emergence of …

Knowledge-based expedited parameter tuning of microwave passives by means of design requirement management and variable-resolution EM simulations

S Koziel, A Pietrenko-Dabrowska, AG Raef - Scientific Reports, 2023 - nature.com
The importance of numerical optimization techniques has been continually growing in the
design of microwave components over the recent years. Although reasonable initial designs …

Design specification management with automated decision-making for reliable optimization of miniaturized microwave components

S Koziel, A Pietrenko-Dabrowska, P Plotka - Scientific Reports, 2022 - nature.com
The employment of numerical optimization techniques for parameter tuning of microwave
components has nowadays become a commonplace. In pursuit of reliability, it is most often …

Optimization of microwave components using machine learning and rapid sensitivity analysis

S Koziel, A Pietrenko-Dabrowska - Scientific Reports, 2024 - nature.com
Recent years have witnessed a tremendous popularity growth of optimization methods in
high-frequency electronics, including microwave design. With the increasing complexity of …

Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response features

S Koziel, A Pietrenko-Dabrowska - Scientific Reports, 2024 - nature.com
Maximizing microwave passive component performance demands precise parameter
tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often …