23 July 2024 Droplet-shaped anti-resonant fiber designed via swarm intelligence algorithms
Jingyi Song, Changzheng Ma, Li Pei, Jing Li, Jingjing Zheng, Zhenyu Gu, Meiqian Jing, Mingshu Li, Wei Jiang, Wensheng Wang, Tigang Ning
Author Affiliations +
Abstract

We perform shape optimization of anti-resonance fiber (ARF) structures using a particle swarm optimization algorithm, achieving the lowest confinement loss of 2.4347×105 dB/m at 1.07 μm based on a single-layer tubing structure. Different from the existing design approaches that focus on size optimization and stacking of tubes, this research employs algorithm-driven point iteration and reconstruction to explore new structures for ARFs. This approach enhances the design flexibility and provides a new perspective for the design of ARFs. Furthermore, it was discovered that adding an additional tubing can effectively control the bending loss. This method enables the optimization of tubing shapes that are difficult to achieve through parameter analysis and supports local optimization of tubing structures. This method is capable of discovering higher-performance ARF structures based on existing classical designs, which is a significant inspiration for the design of non-uniform waveguides.

© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jingyi Song, Changzheng Ma, Li Pei, Jing Li, Jingjing Zheng, Zhenyu Gu, Meiqian Jing, Mingshu Li, Wei Jiang, Wensheng Wang, and Tigang Ning "Droplet-shaped anti-resonant fiber designed via swarm intelligence algorithms," Optical Engineering 63(7), 076103 (23 July 2024). https://doi.org/10.1117/1.OE.63.7.076103
Received: 3 April 2024; Accepted: 21 June 2024; Published: 23 July 2024
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KEYWORDS
Design

Particle swarm optimization

Mathematical optimization

Interpolation

Refractive index

Structured optical fibers

Evolutionary algorithms

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