Optimization of a quantum-dot semiconductor optical amplifier (QD-SOA) design using the genetic algorithm
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In this paper, we proposed an intelligence model for the optimal design of the quantum-dot semiconductor optical amplifier (QD-SOA). The intelligence model is designed using the artificial neural network (ANN) and genetic algorithm (GA). We first present a simple, accurate, and fast model based on the feedforward ANN. The required data for training the ANN are collected from the numerical solution. The rate equations based on the occupation probability of energy levels and wave propagation equations in the active region of the QD-SOA are solved numerically to calculate optical gain using the slice technique. Then, by using the obtained ANN model and the GA, a new method to design the optimal structure parameters of the QD-SOA is proposed.
KeywordsQuantum dot-semiconductor optical amplifier (QD-SOA) Optimal design Feedforward artificial neural network Genetic algorithm
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