Design of underwater optical antenna transmission and reception systems based on ant colony optimization

This study presents a fast design method based on ant colony optimization (ACO) to address the high-dimensional, nonlinear optimization of aspheric lenses in collimating optical systems for underwater optical antenna transmission and reception. The ACO algorithm employs distributed exploration and pheromone-based positive feedback, combined with a dynamic weighting strategy to balance global and local search capabilities, preventing local optima and ensuring rapid convergence. These results demonstrate the effectiveness of the ACO algorithm in optimizing collimating optical systems and its potential for global optimization of optical system design, enabling the development of high-performance collimating optical systems for optical antenna transmission and reception.

Authors

Publication Details

Journal
Optics Continuum
Published
2025-09-18
DOI
https://doi.org/10.1364/optcon.571791
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Design of underwater optical antenna transmission and reception systems based on ant colony optimization

Jun Ma, Cheng Qiu, Yunjie Teng, Mingyu Zhang et al.
Optics Continuum
Wireless Sensor Networks and IoT
article

Design of underwater optical antenna transmission and reception systems based on ant colony optimization

Jun Ma, Cheng Qiu, Yunjie Teng, Mingyu Zhang, Hao Qin, Liu Yang
article en

Abstract

This study presents a fast design method based on ant colony optimization (ACO) to address the high-dimensional, nonlinear optimization of aspheric lenses in collimating optical systems for underwater optical antenna transmission and reception. The ACO algorithm employs distributed exploration and pheromone-based positive feedback, combined with a dynamic weighting strategy to balance global and local search capabilities, preventing local optima and ensuring rapid convergence. These results demonstrate the effectiveness of the ACO algorithm in optimizing collimating optical systems and its potential for global optimization of optical system design, enabling the development of high-performance collimating optical systems for optical antenna transmission and reception.

Optics ContinuumVol. 4(11)
Openalex Percentile: Top 68%
Wireless Sensor Networks and IoT
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Design of underwater optical antenna transmission and reception systems based on ant colony optimization — Jun Ma, Cheng Qiu, et al. · Optics Continuum (2025) | TGRS Research Map | TGRS