An EM Optimization Method with Adjoint-Sensitivity-Based Multifeature Surrogate for the Design of Microwave Filters

This paper presents an efficient electromagnetic (EM) optimization method with adjoint-sensitivity-based multifeature surrogate for the design of microwave filters. This method is designed to solve the EM optimization problem where the starting point is far from the design specifications. Feature sensitivities are incorporated into the multifeatured surrogate modeling to achieve a surrogate with higher accuracy compared to the existing methods during the EM optimization process. A new design objective function in the feature space is also utilized to improve the speed of multifeature surrogate optimization. A microwave filter example is presented to illustrate this optimization method.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10700017
Primary Topic
Microwave Engineering and Waveguides
Type
article
Field-Weighted Citation Impact
0.00

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article

An EM Optimization Method with Adjoint-Sensitivity-Based Multifeature Surrogate for the Design of Microwave Filters

Weicong Na, Ke Liu, Wanrong Zhang, Zhaojie Bai
Microwave Engineering and Waveguides
article

An EM Optimization Method with Adjoint-Sensitivity-Based Multifeature Surrogate for the Design of Microwave Filters

Weicong Na, Ke Liu, Wanrong Zhang, Zhaojie Bai
article en

Abstract

This paper presents an efficient electromagnetic (EM) optimization method with adjoint-sensitivity-based multifeature surrogate for the design of microwave filters. This method is designed to solve the EM optimization problem where the starting point is far from the design specifications. Feature sensitivities are incorporated into the multifeatured surrogate modeling to achieve a surrogate with higher accuracy compared to the existing methods during the EM optimization process. A new design objective function in the feature space is also utilized to improve the speed of multifeature surrogate optimization. A microwave filter example is presented to illustrate this optimization method.

Tianjin University (CN), Beijing University of Technology (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation
Affordable and clean energy
Openalex Percentile: Top 85%
Microwave Engineering and Waveguides
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An EM Optimization Method with Adjoint-Sensitivity-Based Multifeature Surrogate for the Design of Microwave Filters — Weicong Na, Ke Liu, et al. · (2024) | TGRS Research Map | TGRS