Genetic algorithms applied to the design of 3D photonic crystals

Authors:
Agustín Morgado-León;Alejandro Escuín;Elisa Guerrero;Andrés Yáñez;Pedro L. Galindo;Lorenzo Sanchis
Affiliations:
Universidad de Cádiz, Departamento de Lenguajes y Sistemas Informáticos, Puerto Real, Cádiz, Spain;Universidad de Cádiz, Departamento de Lenguajes y Sistemas Informáticos, Puerto Real, Cádiz, Spain;Universidad de Cádiz, Departamento de Lenguajes y Sistemas Informáticos, Puerto Real, Cádiz, Spain;Universidad de Cádiz, Departamento de Lenguajes y Sistemas Informáticos, Puerto Real, Cádiz, Spain;Universidad de Cádiz, Departamento de Lenguajes y Sistemas Informáticos, Puerto Real, Cádiz, Spain;Universidad de Valencia, UMDO - Instituto de Ciencias de los Materiales, Valencia, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

Citing 1
Cited 1

Photonic Crystals: Molding the Flow of Light

Photonic Crystals: Molding the Flow of Light

Hybrid approach for 2d strip packing problem using genetic algorithm

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

We aim at determining the optimal configuration of photonic crystal structures capable of carrying out a certain optical task. An exhaustive search would require a high computational cost, in this work we show how genetic algorithms can be applied to reliably find an optimal topology of threedimensional photonic crystals. The fitness, representing the performance of each potential configuration, is calculated by means of finite element analysis. Different experiments are presented in order to illustrate the potential of this 3D design approach.