Space mapping: the state of the art
We review the space-mapping (SM) technique and the SM-based surrogate (modeling)
concept and their applications in engineering design optimization. For the first time, we …
concept and their applications in engineering design optimization. For the first time, we …
EM-based optimization of microwave circuits using artificial neural networks: The state-of-the-art
JE Rayas-Sánchez - IEEE Transactions on Microwave Theory …, 2004 - ieeexplore.ieee.org
This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …
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 …
and envisage imminent and future challenges that will be addressed by the next generation …
Space mapping
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 …
based model libraries, advances in EM and circuit simulation accuracy, and the refinement …
Inverse artificial neural network for multiobjective antenna design
LY Xiao, W Shao, FL Jin, BZ Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To improve the convenience and efficiency of antenna design, in this article, a novel inverse
artificial neural network (ANN) model is proposed in which antenna performance indexes …
artificial neural network (ANN) model is proposed in which antenna performance indexes …
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 …
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 …
aggressive space mapping (ASM) algorithm. My purpose here is to present both a historical …
Parametric modeling of microwave components using adjoint neural networks and pole-residue transfer functions with EM sensitivity analysis
This paper proposes a pole-residue-based adjoint neuro-transfer function (neuro-TF)
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …
Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping
VK Devabhaktuni, B Chattaraj… - IEEE Transactions …, 2003 - ieeexplore.ieee.org
In this paper, we propose an efficient knowledge-based automatic model generation
(KAMG) technique aimed at generating microwave neural models of the highest possible …
(KAMG) technique aimed at generating microwave neural models of the highest possible …
Advanced parallel space-mapping-based multiphysics optimization for high-power microwave filters
Space mapping is a recognized surrogate-based optimization method to accelerate the
electromagnetic (EM) design. In this article, for the first time, space mapping is elevated from …
electromagnetic (EM) design. In this article, for the first time, space mapping is elevated from …