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

Zahra Ghatan ; Aria Fallahi ; Behrooz Makki (Institutionen för signaler och system, Kommunikationssystem) ; Mahmood Shahabadi ; Carl Lucas ; Fatemeh Bahrami
IEEE World Congress on Evolutionary Computation Vol. 1 (2006), 1, p. 3231 - 3235.
[Konferensbidrag, refereegranskat]

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%.

Nyckelord: Genetic algorithms; photonic band gap; Photonic crystals

Denna post skapades 2009-02-26. Senast ändrad 2017-10-03.
CPL Pubid: 90442


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Institutionen för signaler och system, Kommunikationssystem (1900-2017)


Elektroteknik och elektronik

Chalmers infrastruktur