利用遗传算法优化NALM设计中多波长布里渊-拉曼光纤激光器

G. Mamdoohi, S. Saryazdi
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引用次数: 3

摘要

本文旨在利用非线性放大环镜(NALM)设计优化多波长布里渊-拉曼光纤激光器(MBRFL)。这样做是为了通过传输功率作为适应度函数来评估参数的大自由度,该适应度函数可用于优化NALM的行为而无需重复实验。该遗传算法具有足够的智能,可以支持不同的参数,以实现35兆瓦的最大传输功率。当优化参数包括5 km色散补偿光纤长度、600 mW拉曼泵浦功率和−30 dB衰减器值时,得到了这一结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of multi-wavelength Brillouin-Raman fiber laser in NALM design by employment genetic algorithm
This paper aims to optimize multi-wavelength Brillouin-Raman fiber laser (MBRFL) utilizing nonlinear amplifying loop mirror (NALM) design through employment a simple genetic algorithm. This is carried out in order to evaluate large degree of freedom of parameters through transmitted power as a fitness function that can be exploited to optimize the behavior of the NALM without repeating experiment. The genetic algorithm is intelligent enough that can support different parameters to achieve maximum transmitted power of 35 mW. This is attained when the optimized parameters including 5 km of dispersing compensating fiber length with Raman pump power of 600 mW and attenuator value of −30 dB are incorporated.
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