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Novel hybrid optimal algorithm for broad-band Raman amplifier

机译:宽带拉曼放大器的新型混合最优算法

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A hybrid optimal algorithm, named the SAA-PA in brief, based on the simulated annealing algorithm (SAA) and the Powell algorithm (PA) is proposed. The proposed algorithm puts the random search strategy of the SAA into the PA, which can prevent optimizing courses from trapping in local optima. The SAA-PA can effectively solve multimodal optimization in the distributed multi-pump Raman amplifier (DMRA). Optimal results show that, under the conditions of the on-off gain of 10 dB, the gain bandwidth of larger than 80 nm and the fiber length of 80 km, the gain ripple of less than 1.25 dB can be designed from the DMRA with only four backward pumps after the optimization of the proposed SAA-PA. Compared with the pure SAA, the SAA-PA can attain a lower gain ripple with the same number of pumps. Also, the relationship between the optimal signal bandwidth and the number of pumps can be simulated numerically with the SAA-PA.
机译:提出了一种基于模拟退火算法(SAA)和鲍威尔算法(PA)的混合最优算法,简称为SAA-PA。所提出的算法将SAA的随机搜索策略放入PA中,可以防止优化过程陷入局部最优状态。 SAA-PA可以有效解决分布式多泵拉曼放大器(DMRA)中的多模式优化问题。最佳结果表明,在开关增益为10 dB,增益带宽大于80 nm,光纤长度为80 km的条件下,仅使用DMRA即可设计出小于1.25 dB的增益纹波在对拟议的SAA-PA进行优化之后,又增加了四个反向泵。与纯SAA相比,SAA-PA在相同数量的泵的情况下可以获得较低的增益纹波。同样,可以使用SAA-PA在数值上模拟最佳信号带宽和泵浦数量之间的关系。

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