Deep neural networks for the evaluation and design of photonic devices
The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
Artificial neural networks for microwave computer-aided design: The state of the art
This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
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 …
to the level of detail and accuracy provided by a predictive model or simulation. Generally …
Review of surrogate modeling in water resources
Surrogate modeling, also called metamodeling, has evolved and been extensively used
over the past decades. A wide variety of methods and tools have been introduced for …
over the past decades. A wide variety of methods and tools have been introduced for …
Recent advances in surrogate-based optimization
AIJ Forrester, AJ Keane - Progress in aerospace sciences, 2009 - Elsevier
The evaluation of aerospace designs is synonymous with the use of long running and
computationally intensive simulations. This fuels the desire to harness the efficiency of …
computationally intensive simulations. This fuels the desire to harness the efficiency of …
Special section on multidisciplinary design optimization: metamodeling in multidisciplinary design optimization: how far have we really come?
The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past 25 years, but how far has the field really come? This …
has progressed remarkably in the past 25 years, but how far has the field really come? This …
A review of design optimization methods for electrical machines
Electrical machines are the hearts of many appliances, industrial equipment and systems. In
the context of global sustainability, they must fulfill various requirements, not only physically …
the context of global sustainability, they must fulfill various requirements, not only physically …
Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
S Shan, GG Wang - Structural and multidisciplinary optimization, 2010 - Springer
The integration of optimization methodologies with computational analyses/simulations has
a profound impact on the product design. Such integration, however, faces multiple …
a profound impact on the product design. Such integration, however, faces multiple …
A review of recent developments in electrical machine design optimization methods with a permanent-magnet synchronous motor benchmark study
Y Duan, DM Ionel - IEEE Transactions on Industry Applications, 2013 - ieeexplore.ieee.org
This paper systematically covers the significant developments of the last decade, including
surrogate modeling of electrical machines and direct and stochastic search algorithms for …
surrogate modeling of electrical machines and direct and stochastic search algorithms for …
An efficient method for antenna design optimization based on evolutionary computation and machine learning techniques
B Liu, H Aliakbarian, Z Ma… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In recent years, various methods from the evolutionary computation (EC) field have been
applied to electromagnetic (EM) design problems and have shown promising results …
applied to electromagnetic (EM) design problems and have shown promising results …