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Performance analysis of the optimized equilibrium optimizer algorithm using linear population size reduction in the

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    A new control algorithm, the optimized equilibrium optimizer (LOEO), significantly improves sensor-less adaptive optics (SLAO) for free-space optical communication. It offers faster, more precise correction of atmospheric turbulence.

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    Area of Science:

    • Optical Engineering
    • Free-Space Optical Communication
    • Adaptive Optics

    Background:

    • Atmospheric turbulence degrades coherent free-space optical communication (CFSOC) performance.
    • Sensor-less adaptive optics (SLAO) systems are crucial for mitigating these effects.
    • The effectiveness of SLAO systems relies heavily on their control algorithms.

    Purpose of the Study:

    • To introduce and evaluate an enhanced control algorithm for SLAO systems.
    • To improve the speed, precision, and robustness of wavefront correction in CFSOC.
    • To demonstrate the suitability of the proposed algorithm for practical SLAO applications.

    Main Methods:

    • Development of the optimized equilibrium optimizer (LOEO) algorithm, an enhancement of the equilibrium optimizer (EO).
    • Modifications include enhanced control parameters, a linear population size reduction (LPSR) strategy, and a revised search framework.
    • Theoretical analysis and numerical simulations were conducted to validate the algorithm's performance.

    Main Results:

    • The LOEO algorithm demonstrated superior precision, rapid correction speed, and strong robustness compared to existing methods.
    • Correction speed was enhanced by approximately 50% over the EO algorithm and 15.92 times faster than the SPGD algorithm.
    • Experimental results confirmed the LOEO algorithm's efficiency in rectifying distorted wavefront phase aberrations.

    Conclusions:

    • The LOEO algorithm is a highly effective control strategy for sensor-less adaptive optics systems.
    • Its enhanced performance significantly improves the communication capabilities of coherent free-space optical systems.
    • The LOEO algorithm presents a promising solution for overcoming atmospheric turbulence challenges in optical communications.