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Modeling and optimization of microwave structures using quick space mapping with variable weight coefficients
Author(s) -
Koziel Slawomir,
Bandler John W.
Publication year - 2011
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.769
Subject(s) - robustness (evolution) , parametric statistics , space mapping , computer science , mathematical optimization , surrogate model , nonlinear system , parameter space , algorithm , mathematics , statistics , biochemistry , chemistry , physics , quantum mechanics , gene
We describe an improvement of a recent space mapping (SM) modeling approach that uses variable weight coefficients (SM‐VWC). Our modification alleviates the main drawback of SM‐VWC: the computational overhead related to a separate parameter extraction required for each evaluation of the surrogate model. In our new procedure, the output SM parameters of the surrogate model are obtained by solving a linear regression problem instead of being determined in the nonlinear parameter extraction process. This dramatically reduces the evaluation time of the surrogate model. Moreover, the modeling accuracy of the modified technique is even better than the accuracy of the original SM‐VWC approach, which is because—in a practical implementation—the original SM‐VWC technique reduces the computational cost of the parameter extraction at the expense of its quality. Examples demonstrate the robustness of our approach. Applications of the quick SM‐VWC for the parametric design optimization are also presented. Copyright © 2010 John Wiley & Sons, Ltd.