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Optimization of Coupling Efficiency in Butterfly Optical Communication Laser Based on Chaotic Adaptive Seeker

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Summary

A novel chaotic adaptive seeker optimization algorithm (CASOA) enhances laser coupling efficiency and accuracy. This method uses chaotic disturbance for improved search performance, achieving high success rates with minimal iterations.

Keywords:
chaotic disturbancecoupling efficiencymulti-degree of freedom alignmentseeker optimization algorithm

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Area of Science:

  • Optical Engineering
  • Computational Intelligence
  • Laser Physics

Background:

  • Accurate coupling of laser diodes to single-mode fibers is crucial for optical communication systems.
  • Existing optimization algorithms may struggle with local optima and efficiency in alignment tasks.
  • Butterfly optical communication lasers require precise alignment for optimal performance.

Purpose of the Study:

  • To propose a Chaotic Adaptive Seeker Optimization Algorithm (CASOA) for improving laser coupling.
  • To enhance the search performance and convergence speed of optimization algorithms in optical alignment.
  • To increase the coupling efficiency and accuracy of butterfly optical communication lasers.

Main Methods:

  • Development of the Chaotic Adaptive Seeker Optimization Algorithm (CASOA) incorporating chaotic disturbance.
  • Implementation of a novel search path optimization strategy for small populations.
  • Conducting simulations and experimental validation of the CASOA for laser-to-fiber coupling.

Main Results:

  • CASOA demonstrated an excellent search success rate in coupling alignment tasks.
  • The algorithm achieved high accuracy and efficiency with a small population and few iterations.
  • Experimental results confirmed the effectiveness of CASOA in practical laser diode and single-mode fiber coupling.

Conclusions:

  • The proposed CASOA reliably improves coupling accuracy and efficiency for laser diodes and single-mode fibers.
  • CASOA's chaotic disturbance effectively helps escape local optima, enhancing search performance.
  • The algorithm offers a promising solution for precise alignment in optical communication systems.