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Updated: Jun 16, 2025
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Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
Published on: February 28, 2016
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Radial basis function-assisted global + local optimization algorithm for polarization-maintaining hollow-core
Optics Express
|June 14, 2025
Summary
This study introduces an efficient fiber optimization algorithm using enhanced radial basis functions. It significantly reduces computational effort, achieving low loss and high birefringence for polarization-maintaining fibers.
Area of Science:
- Photonics and Optical Engineering
- Computational Science and Engineering
Background:
- Traditional evolutionary algorithms are computationally intensive for fiber optimization.
- Need for efficient methods to design low-loss, polarization-maintaining optical fibers.
Purpose of the Study:
- To develop an enhanced optimization algorithm for improved efficiency in fiber design.
- To reduce the computational cost associated with traditional fiber optimization techniques.
Main Methods:
- Proposed an enhanced radial basis function-based global and local optimization algorithm.
- Integrated a surrogate model-based pre-screening module with global and local models.
- Employed a local model-assisted search strategy for refining promising search regions.
Main Results:
- Achieved optimization of two low-loss, polarization-maintaining fiber structures.
- Required only 100 evaluations per model, an order of magnitude reduction in computational effort.
- Obtained a birefringence of 1x10-4 and a loss of 0.3 dB/m.
Conclusions:
- The enhanced algorithm significantly improves computational efficiency for fiber optimization.
- The method is effective for designing high-performance polarization-maintaining fibers with minimal loss.
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