Trust-region methods
Tuning-aided implicit space mapping
International Journal of RF and Microwave Computer-Aided Engineering
Surrogate-based infill optimization applied to electromagnetic problems
International Journal of RF and Microwave Computer-Aided Engineering - Advances in Design Optimization of Microwave-RF Circuits and Systems
Recent advances of neural network-based EM-CAD
International Journal of RF and Microwave Computer-Aided Engineering - Advances in Design Optimization of Microwave-RF Circuits and Systems
International Journal of RF and Microwave Computer-Aided Engineering
Modeling and design of printed antennas using neural networks
International Journal of RF and Microwave Computer-Aided Engineering
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Simulation-based optimization has become an important design tool in microwave engineering. However, using electromagnetic (EM) solvers in the design process is a challenging task, primarily due to a high-computational cost of an accurate EM simulation. In this article, we present a review of EM-based design optimization techniques exploiting response-corrected physically based low-fidelity models. The surrogate models created through such a correction can be used to yield a reasonable approximation of the optimal design of the computationally expensive structure under consideration (high-fidelity model). Several approaches using this idea are reviewed including output space mapping, manifold mapping, adaptive response correction, and shape-preserving response prediction. A common feature of these methods is that they are easy to implement and computationally efficient. Application examples are provided. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012. © 2012 Wiley Periodicals, Inc.