Multi-objective optimization of reflector antennas using kriging and probability of improvement

DIL de Villiers, I Couckuyt… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This paper presents the multi-objective optimization design of a blocked prime focus
reflector system using a Kriging response surface approximation technique with adaptive …

On the Bayesian optimization and robustness of event detection methods in NILM

L De Baets, J Ruyssinck, C Develder, T Dhaene… - Energy and …, 2017 - Elsevier
A basic but crucial step to increase efficiency and save energy in residential settings is to
have an accurate view of energy consumption. To monitor residential energy consumption …

Surrogate-assisted multi-objective optimization for control parameters of adjacent gearshift process with multiple clutches

P Dong, J Li, W Guo, J Lai, F Mao, K Wang, X Xu… - Control Engineering …, 2023 - Elsevier
The limited sensors in mass-produced automatic transmissions introduce a significant
challenge for performing gearshifts with multiple clutches. To tackle this challenge, this study …

Expedited gradient-based design closure of antennas using variable-resolution simulations and sparse sensitivity updates

A Pietrenko-Dabrowska, S Koziel - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Numerical optimization has been playing an increasingly important role in the design of
contemporary antenna systems. Due to the shortage of design-ready theoretical models …

Multiobjective building design optimization using an efficient adaptive Kriging metamodel

S Lahmar, M Maalmi, R Idchabani - Simulation, 2023 - journals.sagepub.com
Multiobjective building design optimization is a challenging problem because it involves
finding a set of solutions that simultaneously optimize multiple conflicting objectives …

Using support vector machines for the computationally efficient identification of acceptable design parameters in computer-aided engineering applications

ME Cholette, P Borghesani, E Di Gialleonardo… - Expert Systems with …, 2017 - Elsevier
This paper addresses the problem of estimating continuous boundaries between acceptable
and unacceptable engineering design parameters in complex engineering applications. In …

Design-oriented two-stage surrogate modeling of miniaturized microstrip circuits with dimensionality reduction

S Koziel, A Pietrenko-Dabrowska - IEEE Access, 2020 - ieeexplore.ieee.org
Contemporary microwave design heavily relies on full-wave electromagnetic (EM)
simulation tools. This is especially the case for miniaturized devices where EM cross …

Constrained multi‐objective antenna design optimization using surrogates

P Singh, M Rossi, I Couckuyt… - … Journal of Numerical …, 2017 - Wiley Online Library
A novel surrogate‐based constrained multi‐objective optimization algorithm for simulation‐
driven optimization is proposed. The evolutionary algorithms usually applied in antenna …

Low‐cost data‐driven modelling of microwave components using domain confinement and PCA‐based dimensionality reduction

S Koziel, A Pietrenko‐Dabrowska - IET Microwaves, Antennas …, 2020 - Wiley Online Library
Fast data‐driven surrogate models can be employed as replacements of computationally
demanding full‐wave electromagnetic simulations to facilitate the microwave design …

Machine learning for fast characterization of magnetic logic devices

A Kaintura, K Foss, I Couckuyt… - 2018 IEEE electrical …, 2018 - ieeexplore.ieee.org
Non-charge-based logic devices are promising candidates for future logic circuits. Interest in
studying and developing these devices has grown dramatically in the past decade as they …