QUASI-NEWTON MODEL-TRUST REGION APPROACH TO SURROGATE-BASED OPTIMISATION OF PLANAR METAMATERIAL STRUCTURES
Author(s) -
Patrick J. Bradley
Publication year - 2013
Publication title -
progress in electromagnetics research b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 47
ISSN - 1937-6472
DOI - 10.2528/pierb12100507
Subject(s) - surrogate model , metamaterial , planar , computer science , mathematical optimization , physics , mathematics , optics , computer graphics (images) , machine learning
A novel implementation of aggressive space mapping (ASM) for the automatic layout synthesis of planar metamaterial structures is outlined in this article. Speciflcally, we employ a model-trust region optimisation approach to signiflcantly reduce the computational burden associated with the direct optimisation of high- fldelity models. A Visual Basic for application (VBA) link to a commercial full-wave electromagnetic (EM) solver is created, to ensure that the automated Matlab-based platform has complete control of the design and analysis of the entire ASM process. The validity and e-ciency of our approach is demonstrated with examples of complementary split-ring resonator (CSRR)-loaded transmission lines, comparing both modifled and unmodifled version of the quasi-Newton iteration within the ASM framework.
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