Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
Radial Basis Functions
A tutorial on support vector regression
Statistics and Computing
Simplified space-mapping approach to enhancement of microwave device models: Research Articles
International Journal of RF and Microwave Computer-Aided Engineering
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
The Journal of Machine Learning Research
Recent advances in space-mapping-based modeling of microwave devices
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Better simulation metamodeling: the why, what, and how of stochastic kriging
Winter Simulation Conference
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Space mapping (SM) is one of the most popular techniques for creating computationally cheap and reasonably accurate surrogates of electromagnetic-simulated microwave structures (so-called fine models) using underlying coarse models, typically equivalent circuits. One of the drawbacks of SM is that although good modeling accuracy can be obtained using a limited number of training points, SM is not capable of efficiently utilizing larger amount of fine model information, even if it is available. In this paper, we consider various ways of enhancing SM surrogates by exploiting additional training data as well as two function approximation methodologies, kriging and co-kriging. To our knowledge, it is the first application of co-kriging for microwave circuit modeling. With three examples of microstrip filters, we present a comprehensive numerical study in which we compare the accuracy of the basic SM models as well as SM enhanced by kriging and co-kriging. Direct kriging interpolation of fine model data is used as a reference. Copyright © 2012 John Wiley & Sons, Ltd.