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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Towards an integrated evolutionary strategy and artificial neural network computational tool for designing photonic coupler devices

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Ferreira, Adriano da Silva [1] ; da Silva Santos, Carlos Henrique [2] ; Goncalves, Marcos Sergio [3] ; Hernandez Figueroa, Hugo Enrique [1]
Total Authors: 4
[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Dept Commun, BR-13083852 Campinas, SP - Brazil
[2] Sao Paulo Fed Inst Educ Sci & Technol, Campus Itapetininga, BR-18202000 Itapetininga - Brazil
[3] Univ Estadual Campinas, Sch Technol, BR-13484332 Limeira - Brazil
Total Affiliations: 3
Document type: Journal article
Source: APPLIED SOFT COMPUTING; v. 65, p. 1-11, APR 2018.
Web of Science Citations: 6

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 similar to 10(5) faster than FEM. In conclusion, MLP is a potential tool to be integrated to ES on the design of such photonic couplers. (c) 2017 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 12/14553-9 - Integration of bio-inspired and non-linear algorithms libraries to optimize photonic devices
Grantee:Carlos Henrique da Silva Santos
Support Opportunities: Scholarships abroad - Research