Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method
This paper proposes a novel optimization method for hollow-core, anti-resonant fiber based on a gradient descent algorithm assisted via a radial basis-function surrogate model. This approach significantly reduces the number of optimization iterations, achieving a stable improvement in birefringence...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/11/12/1156 |
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| author | Lihong Zhai Sijie Zhang Jiyang Luo Gang Huang Zihan Liu |
| author_facet | Lihong Zhai Sijie Zhang Jiyang Luo Gang Huang Zihan Liu |
| author_sort | Lihong Zhai |
| collection | DOAJ |
| description | This paper proposes a novel optimization method for hollow-core, anti-resonant fiber based on a gradient descent algorithm assisted via a radial basis-function surrogate model. This approach significantly reduces the number of optimization iterations, achieving a stable improvement in birefringence performance by an order of magnitude across the operating wavelength band. Furthermore, various optimization algorithms were compared, and the indicators of their Pareto sets were analyzed to demonstrate the effectiveness of the proposed method in multi-objective optimization. |
| format | Article |
| id | doaj-art-315611fe765e460697efd65c1f8efc2c |
| institution | OA Journals |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-315611fe765e460697efd65c1f8efc2c2025-08-20T02:01:13ZengMDPI AGPhotonics2304-67322024-12-011112115610.3390/photonics11121156Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent MethodLihong Zhai0Sijie Zhang1Jiyang Luo2Gang Huang3Zihan Liu4Department of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaSchool of Microelectronics and Communication Engineering, Chongqing University, Chongqing 401331, ChinaNorth Automatic Control Technology Institute, Taiyuan 030006, ChinaDepartment of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaSchool of Mathematics and Computer Science, Shanxi Normal University, Taiyuan 030031, ChinaThis paper proposes a novel optimization method for hollow-core, anti-resonant fiber based on a gradient descent algorithm assisted via a radial basis-function surrogate model. This approach significantly reduces the number of optimization iterations, achieving a stable improvement in birefringence performance by an order of magnitude across the operating wavelength band. Furthermore, various optimization algorithms were compared, and the indicators of their Pareto sets were analyzed to demonstrate the effectiveness of the proposed method in multi-objective optimization.https://www.mdpi.com/2304-6732/11/12/1156hollow-core anti-resonant fiberoptimization methodspecial fiber |
| spellingShingle | Lihong Zhai Sijie Zhang Jiyang Luo Gang Huang Zihan Liu Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method Photonics hollow-core anti-resonant fiber optimization method special fiber |
| title | Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method |
| title_full | Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method |
| title_fullStr | Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method |
| title_full_unstemmed | Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method |
| title_short | Optimization of Low-Loss, High-Birefringence, Single-Layer, Annular, Hollow, Anti-Resonant Fiber Using a Surrogate Model-Assisted Gradient Descent Method |
| title_sort | optimization of low loss high birefringence single layer annular hollow anti resonant fiber using a surrogate model assisted gradient descent method |
| topic | hollow-core anti-resonant fiber optimization method special fiber |
| url | https://www.mdpi.com/2304-6732/11/12/1156 |
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