Review of multi-fidelity models

MG Fernández-Godino - arXiv preprint arXiv:1609.07196, 2016 - arxiv.org
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 …

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 …

Space mapping

S Koziel, QS Cheng, JW Bandler - IEEE Microwave Magazine, 2008 - ieeexplore.ieee.org
Microwave CAD has its roots in the 1960s [1]. Its practice saw the enrichment of circuit-
based model libraries, advances in EM and circuit simulation accuracy, and the refinement …

A space-mapping framework for engineering optimization—Theory and implementation

S Koziel, JW Bandler, K Madsen - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
This paper presents a comprehensive approach to engineering design optimization
exploiting space mapping (SM). The algorithms employ input SM and a new generalization …

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 …

Multifeature-assisted neuro-transfer function surrogate-based EM optimization exploiting trust-region algorithms for microwave filter design

F Feng, W Na, W Liu, S Yan, L Zhu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-
based electromagnetic (EM) optimization technique exploiting trust-region algorithms for …

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 …

Parallel gradient-based EM optimization for microwave components using adjoint-sensitivity-based neuro-transfer function surrogate

F Feng, W Na, W Liu, S Yan, L Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a novel parallel gradient-based electromagnetic (EM) optimization
approach to microwave components using adjoint-sensitivity-based neuro-transfer function …

Space mapping with adaptive response correction for microwave design optimization

S Koziel, JW Bandler, K Madsen - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Output space mapping is a technique introduced to enhance the robustness of the space-
mapping optimization process in case the space-mapped coarse model cannot provide …

Robust trust-region space-mapping algorithms for microwave design optimization

S Koziel, JW Bandler, QS Cheng - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Convergence is a well-known issue for standard space-mapping optimization algorithms. It
is heavily dependent on the choice of coarse model, as well as the space-mapping …