Optimization of four-wave mixing wavelength conversion in a quantum-dot semiconductor optical amplifier based on the genetic algorithm

被引：0
作者：
Farideh Hakimian
Mohammad Reza Shayesteh
Mohammad Reza Moslemi
机构：
[1] Islamic Azad University,Department of Electrical Engineering, Yazd Branch
[2] Islamic Azad University,Department of Electrical Engineering, Zarghan Branch
来源：
Optical and Quantum Electronics | 2021年 / 53卷
关键词：
Quantum dot semiconductor optical amplifier (QD-SOA); Four-wave mixing; Wavelength conversion; Artificial neural network; Genetic algorithm;
D O I：
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学科分类号：
摘要：
A novel approach based on the artificial neural network (ANN) and the genetic algorithm (GA) is presented for optimization of four-wave mixing (FWM) wavelength conversion in a quantum dot semiconductor optical amplifier (QD-SOA). First of all, we propose a simple, accurate, and fast model based on the feedforward ANN for the characteristics of FWM in a QD-SOA. To train the ANN, we collect the required data from a numerical model. In this model, the efficiency of FWM is obtained numerically taken into account the effect of pump/probe and the occupation probability of energy levels by using the slice technique. Then, the optimal design of QD-SOA as the FWM wavelength converter is performed using the GA.
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