高阶分布式拉曼放大器优化的自然计算算法

2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC) Pub Date : 2019-11-10 DOI:10.1109/IMOC43827.2019.9317571

F. L. D. Lucia, J. H. C. Júnior, T. Sutili, R. Figueiredo

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引用次数: 4

摘要

对高阶分布式拉曼放大器(DRA)的两种优化设计方法进行了研究并进行了性能比较。模拟退火算法(SA)和粒子群优化算法(PSO)都是用于搜索给定函数的最优解的自然计算算法。应用这两种方法优化了三阶DRAs的泵浦波长和功率。在我们的对比分析中，PSO算法获得了总体上最好的结果。然而，SA也给出了令人满意的结果，是设计高阶dra的一种有趣的替代方法，特别是考虑到它更简单的实现。

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Natural Computing Algorithms for Optimization of High-Order Distributed Raman Amplifiers

A study and performance comparison between two methods for optimizing the design of high-order distributed Raman amplifiers (DRA) are presented. Simulated Annealing (SA) and Particle Swarm optimization (PSO) are both natural computing algorithms used for searching the best solution for a given function. Both methods were applied to optimize pumping wavelengths and power for third-order DRAs. In our comparative analysis, the overall best results were obtained by the PSO algorithm. Nevertheless, SA also presented satisfactory results, being an interesting alternative method for designing high-order DRAs, specially considering its simpler implementation.

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2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)

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