基于人工蜂群算法的二维光子晶体优化

2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) Pub Date : 2021-09-13 DOI:10.1109/NUSOD52207.2021.9541512

Mailson G. Da Silva, G. N. Malheiros-Silveira

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引用次数: 0

摘要

我们将人工蜂群算法应用于二维光子晶体的完全带隙最大化。利用MIT Photonic Bands软件进行带图和带隙计算，并将这些结果用于算法的适应度函数中。将优化后的结构与文献中采用遗传算法的结构进行了比较，发现光子晶体的全带隙有所提高。

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Optimization of Two-Dimensional Photonic Crystals with Artificial Bee Colony Algorithm

We applied the Artificial Bee Colony algorithm for the complete band gap maximization of a two-dimensional photonic crystal. The band diagram and band gap calculation were carried out by the software MIT Photonic Bands, and these results were used in the algorithm’s fitness function. The optimum structure was compared to the literature which used genetic algorithm, and it was observed a raise in the complete band gap of the photonic crystal.

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2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)

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