2019
DOI: 10.13164/re.2019.0572
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Efficient Gradient-Based Algorithm with Numerical Derivatives for Expedited Optimization of Multi-Parameter Miniaturized Impedance Matching Transformers

Abstract: Full-wave electromagnetic (EM) simulation tools have become ubiquitous in the design of microwave components. In some cases, e.g., miniaturized microstrip components, EM analysis is mandatory due to considerable cross-coupling effects that cannot be accounted for otherwise (e.g., by means of equivalent circuits). These effects are particularly pronounced in the structures involving slow-wave compact cells and their numerical optimization is challenging due to expensive simulations and large number of parameter… Show more

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Cited by 26 publications
(15 citation statements)
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“…If r > 0.75, we set d (i+1) = 2d (i) , whereas if r < 0.25, d (i+1) = d (i) /3 [59]. It should be noted that the conventional TR procedure can be accelerated using adjoint sensitivities (if available) [32] or by means of sparse sensitivity updates (e.g., [35], [60]). Notwithstanding, this work is focused on investigating the advantages of regularization, especially in terms of improving the optimization process reliability.…”
Section: Optimization Proceduresmentioning
confidence: 99%
“…If r > 0.75, we set d (i+1) = 2d (i) , whereas if r < 0.25, d (i+1) = d (i) /3 [59]. It should be noted that the conventional TR procedure can be accelerated using adjoint sensitivities (if available) [32] or by means of sparse sensitivity updates (e.g., [35], [60]). Notwithstanding, this work is focused on investigating the advantages of regularization, especially in terms of improving the optimization process reliability.…”
Section: Optimization Proceduresmentioning
confidence: 99%
“…Efficient development of highperformance metasurfaces requires a new algorithmic framework that goes beyond interactive approaches and permits design automation, reliability, and computational efficiency. At this point, it should be mentioned that unprecedented advancements in computing hardware and software considerably increased the popularity and widespread use of rigorous EM-driven design methodologies, primarily based on numerical optimization [34]. However, direct EM optimization of metasurface designs when using conventional algorithms may be prohibitively expensive, especially when global search is required.…”
Section: Introductionmentioning
confidence: 99%
“…The methods for accelerating EM-driven design procedures have been researched for over two decades [6], [7]. Available approaches include incorporation of adjoint sensitivities [8], [9], or sparse Jacobian updates [10], [11] into gradient-based algorithms, utilization of custom EM solvers [12], as well as mesh deformation techniques [13]. Other methods rely on variable-fidelity or variable-resolution techniques [14], [15], often combined with physics-based surrogate modeling procedures (e.g., space mapping [16], response correction [17], Bayesian model fusion [18], cokriging [19]).…”
Section: Introductionmentioning
confidence: 99%