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Variable step size adaptive cuckoo search optimization algorithm for phase diversity

机译:相位分集的可变步长自适应咕咕搜索优化算法

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摘要

The phase diversity (PD) algorithm will eventually be converted into a large-scale nonlinear numerical optimization problem, so the selection of numerical optimization algorithm will directly determine the accuracy and speed of the algorithm settlement. In this paper, we introduce the cuckoo search optimization algorithm, which has the advantages of simple model, few parameters, and easy implementation, to the phase diversity algorithm. By improving the step size control factor in the original cuckoo search algorithm, we can make it have faster optimization speed for PD. In the simulation experiments, we further proved and gave a simple explanation in theory that in the case of large-scale wavefront sensing, compared to the traditional particle swarm algorithm, this improved algorithm has higher accuracy and faster convergence speed. Finally, we set up a simple experimental system and proved the effectiveness of the improved cuckoo search algorithm for PD. (C) 2018 Optical Society of America
机译:相分集(PD)算法最终将转换为大规模的非线性数值优化问题,因此数字优化算法的选择将直接确定算法沉降的准确性和速度。在本文中,我们介绍了杜鹃搜索优化算法,其具有简单模型,少数参数和简单实现的优点,对相位分集算法。通过提高原始Cuckoo搜索算法中的步长控制因子,我们可以使PD具有更快的优化速度。在仿真实验中,我们进一步证明并对理论上进行了简单的解释,在大规模的波前感测的情况下,与传统的粒子群算法相比,这种改进的算法具有更高的精度和更快的收敛速度。最后,我们建立了一个简单的实验系统,并证明了PD改进的杜鹃搜索算法的有效性。 (c)2018年光学学会

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  • 来源
    《Applied optics》 |2018年第28期|共8页
  • 作者单位

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Space Opt Dept Changchun 130033 Jilin Peoples R China;

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Space Opt Dept Changchun 130033 Jilin Peoples R China;

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Space Opt Dept Changchun 130033 Jilin Peoples R China;

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Space Opt Dept Changchun 130033 Jilin Peoples R China;

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Space Opt Dept Changchun 130033 Jilin Peoples R China;

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  • 正文语种 eng
  • 中图分类 应用;
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