Simulation-Inserted Optimization of Sixth-Pole Waveguide Filter With Quasi-Newton Method

Recently, a novel electromagnetic (EM) optimization method, called as Simulation-inserted optimization (SIO), utilizes the finite element method (FEM) to solve the EM response. In the SIO technique, quasi-Newton method is introduced to accelerate the optimization processes. The SIO technique with quasi-Newton method outperforms other gradient-based optimization methods, including the SIO with Newton's method. This paper seeks to apply the SIO technique with quasi-Newton method to design a sixth-pole filter with two transmission zeros.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/mape62875.2024.10813816
Primary Topic
Photonic and Optical Devices
Type
article
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Simulation-Inserted Optimization of Sixth-Pole Waveguide Filter With Quasi-Newton Method

Feng Feng, Kaixue Ma, Qi‐Jun Zhang, Yan Zhong et al.
Photonic and Optical Devices
article

Simulation-Inserted Optimization of Sixth-Pole Waveguide Filter With Quasi-Newton Method

Feng Feng, Kaixue Ma, Qi‐Jun Zhang, Yan Zhong, Xiaolong Li
article en

Abstract

Recently, a novel electromagnetic (EM) optimization method, called as Simulation-inserted optimization (SIO), utilizes the finite element method (FEM) to solve the EM response. In the SIO technique, quasi-Newton method is introduced to accelerate the optimization processes. The SIO technique with quasi-Newton method outperforms other gradient-based optimization methods, including the SIO with Newton's method. This paper seeks to apply the SIO technique with quasi-Newton method to design a sixth-pole filter with two transmission zeros.

Tianjin University (CN), Carleton University (CA)
Openalex Percentile: Top 77%
Photonic and Optical Devices
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