Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices
Adriano da Silva Ferreira, Carlos Henrique da Silva Santos, Marcos Sergio Gonçalves, Hugo Enrique Hernández Figueroa
ARTIGO
Inglês
Agradecimentos: This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES), São Paulo Federal Institute of Education, Science and Technology (IFSP) PRP-226/2016, and State of São Paulo Research Foundation (FAPESP) (grant 2012/14553-9). We thank Mr....
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Agradecimentos: This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES), São Paulo Federal Institute of Education, Science and Technology (IFSP) PRP-226/2016, and State of São Paulo Research Foundation (FAPESP) (grant 2012/14553-9). We thank Mr. Christian Edward Harryman for providing language help
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Abstract: Photonics has been widely explored in computing and communications, mainly to rationalize the relationship between device size minimization and data processing/transmission maximization. Generally driven by optimization and modeling techniques, the design of photonic devices is often...
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Abstract: Photonics has been widely explored in computing and communications, mainly to rationalize the relationship between device size minimization and data processing/transmission maximization. Generally driven by optimization and modeling techniques, the design of photonic devices is often performed by bio-inspired algorithms integrated to electromagnetic solvers, which have achieved advances but is still time-consuming. As an alternative to a costly finite element method (FEM) solver, a multilayer perceptron (MLP) neural network is proposed for computing power coupling efficiency of photonic couplers, originally designed through an integrated evolutionary strategy (ES) and FEM routine. We address the ES-FEM design of two efficient couplers, present the MLP implementation and the MLP training and testing over the routine generated datasets, and measure MLP and FEM runtime. MLP suitably predicted the power coupling efficiency of a variety of unknown couplers on tests. The measured runtime showed MLP is ~105 faster than FEM. In conclusion, MLP is a potential tool to be integrated to ES on the design of such photonic couplers
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COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2012/14553-9
Fechado
Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices
Adriano da Silva Ferreira, Carlos Henrique da Silva Santos, Marcos Sergio Gonçalves, Hugo Enrique Hernández Figueroa
Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices
Adriano da Silva Ferreira, Carlos Henrique da Silva Santos, Marcos Sergio Gonçalves, Hugo Enrique Hernández Figueroa
Fontes
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Applied soft computing v. 65, p. 1-11, Apr. 2018 |