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A Novel 2D Genetic Algorithm for Band Gap Optimization of Two-Dimensional Photonic Crystals

机译:二维光子晶体带隙优化的新型二维遗传算法

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By using a novel 2D genetic algorithm, the band gaps of two-dimensional (2D) photonic crystals are maximized. In this procedure the unit cell is divided into small grids. Each filling pattern of the grids is translated into a matrix of binary elements. A novel crossover and mutation operator is developed to obtain structures with maximum relative band gaps. By applying the proposed operator, the required number of generations is extremely reduced. In addition, a semi-analytical method is introduced for calculating the photonic crystal band structures. Because of this efficient method, the required computation time of the fitness function is significantly reduced. The paper presents two optimized photonic crystal structures with a relative band gap of 21%.
机译:通过使用一种新颖的2D遗传算法,二维(2D)光子晶体的带隙被最大化。在此过程中,将晶胞分为小网格。网格的每个填充模式都转换为二进制元素矩阵。开发了一种新颖的交叉和变异算子以获得具有最大相对带隙的结构。通过应用建议的算子,所需的世代数大大减少。另外,引入了一种半解析方法来计算光子的晶体能带结构。由于这种有效的方法,适应度函数所需的计算时间大大减少了。本文提出了两种优化的光子晶体结构,相对带隙为21%。

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