Power Coupling Optimization in 2D Waveguides by Evolutionary Algorithms
| Autor: | Igor Maia Teles Ruffini, Vitaly F. Rodriguez-Esquerre, Luana da Franca Vieira, C. E. Rubio-Mercedes, A. Dourado-Sisnando |
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| Rok vydání: | 2015 |
| Předmět: |
Coupling
education.field_of_study Engineering Artificial immune system business.industry Computer Science::Neural and Evolutionary Computation Population Evolutionary algorithm Physics::Optics Function (mathematics) Topology Waveguide (optics) Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Frequency domain Genetic algorithm Electronic engineering Electrical and Electronic Engineering education business |
| Zdroj: | IEEE Photonics Technology Letters. 27:1561-1564 |
| ISSN: | 1941-0174 1041-1135 |
| DOI: | 10.1109/lpt.2015.2432034 |
| Popis: | The power coupling efficiency between 2D continuous waveguides and periodic segmented subwavelength waveguides using a taper composed by a segmented waveguide section with variable segment lengths has been successfully and efficiently designed and optimized using evolutionary algorithms based on the artificial immune system and the genetic algorithm in conjunction with the frequency domain finite-element method. Coupling efficiencies higher than 90% have been achieved for both evolutionary algorithms. The impact of the mutation rates for the artificial immune system and the initial population number for the genetic algorithm has also been analyzed in detail. The coupling efficiency of the optimized structures as a function of the operating wavelength has also been analyzed considering the $C$ -band. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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