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首页> 外文期刊>IEEE Photonics Technology Letters >Optimal Design of Fiber Raman Amplifier Based on Hybrid Genetic Algorithm
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Optimal Design of Fiber Raman Amplifier Based on Hybrid Genetic Algorithm

机译:基于混合遗传算法的光纤拉曼放大器的优化设计

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摘要

A hybrid genetic algorithm (GA) based on the clustering fitness sharing and the elite replacement is proposed. Our proposed GA can effectively solve the multimodal optimization in the distributed multipump Raman amplifier (DMRA). The optimal results show that, under the conditions of the ON-OFF gain of >10 dB, the relative gain flatness of <0.1 and the fiber length of 80 km, the bandwidth of >100 nm can be designed from DMRA with five pumps after the optimization of our GA. There are four schemes to realize the required setup parameters in our simulation.
机译:提出了一种基于聚类适应度共享和精英替换的混合遗传算法。我们提出的遗传算法可以有效解决分布式多泵拉曼放大器(DMRA)中的多峰优化问题。最佳结果表明,在开-关增益> 10 dB,相对增益平坦度<0.1和光纤长度80 km的条件下,DMRA可以用五个泵浦设计出大于100 nm的带宽。优化我们的GA。在我们的仿真中,有四种方案可实现所需的设置参数。

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