Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters
The design of passive photonic devices based on geometry optimization can lead to energy-efficient, small-footprint, and fabrication-ready geometries. In this work, we propose an angle-based parametrization method to optimize Y-junction splitters based on multimode interferometers. The selected figu...
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MDPI AG
2023-02-01
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Online Access: | https://www.mdpi.com/2304-6732/10/2/152 |
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author | Roy Prosopio-Galarza J. Leonidas García-Gonzales Freddy Jara Maria Armas-Alvarado Jorge Gonzalez Ruth E. Rubio-Noriega |
author_facet | Roy Prosopio-Galarza J. Leonidas García-Gonzales Freddy Jara Maria Armas-Alvarado Jorge Gonzalez Ruth E. Rubio-Noriega |
author_sort | Roy Prosopio-Galarza |
collection | DOAJ |
description | The design of passive photonic devices based on geometry optimization can lead to energy-efficient, small-footprint, and fabrication-ready geometries. In this work, we propose an angle-based parametrization method to optimize Y-junction splitters based on multimode interferometers. The selected figure of merit was the transmittance in the SCL and OESCL optical fiber communication bands. The performances of three optimization methods were compared: (i) particle swarm optimization (PSO), (ii) genetic algorithm (GA), and (iii) the covariance matrix adaptation-evolution strategy (CMA-ES). The results show that CMA-ES parametrization produces similar transmittance results (≤1.5% of difference) to PSO in the first 40 generations. The CMA-ES results are identical in the SCL (1460–1625 nm) and OESCL (1260–1625 nm) bands, whereas the GA and PSO executions are slightly different in terms of the rate and similarity of the figure of merit. |
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issn | 2304-6732 |
language | English |
last_indexed | 2024-03-11T08:15:41Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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spelling | doaj.art-42f8309043aa414a892bb454f4a96a632023-11-16T22:45:05ZengMDPI AGPhotonics2304-67322023-02-0110215210.3390/photonics10020152Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction SplittersRoy Prosopio-Galarza0J. Leonidas García-Gonzales1Freddy Jara2Maria Armas-Alvarado3Jorge Gonzalez4Ruth E. Rubio-Noriega5Group of Radiofrequency Microwave and Optics (G-RFMO), National Institute for Research and Training in Telecommunications (INICTEL), National University of Engineering (UNI), Lima 15001, PeruComputer Engineering Group (CEG), Computer Science Department, University of Engineering and Technology (UTEC), Lima 15001, PeruGroup of Radiofrequency Microwave and Optics (G-RFMO), National Institute for Research and Training in Telecommunications (INICTEL), National University of Engineering (UNI), Lima 15001, PeruGroup of Radiofrequency Microwave and Optics (G-RFMO), National Institute for Research and Training in Telecommunications (INICTEL), National University of Engineering (UNI), Lima 15001, PeruComputer Engineering Group (CEG), Computer Science Department, University of Engineering and Technology (UTEC), Lima 15001, PeruGroup of Radiofrequency Microwave and Optics (G-RFMO), National Institute for Research and Training in Telecommunications (INICTEL), National University of Engineering (UNI), Lima 15001, PeruThe design of passive photonic devices based on geometry optimization can lead to energy-efficient, small-footprint, and fabrication-ready geometries. In this work, we propose an angle-based parametrization method to optimize Y-junction splitters based on multimode interferometers. The selected figure of merit was the transmittance in the SCL and OESCL optical fiber communication bands. The performances of three optimization methods were compared: (i) particle swarm optimization (PSO), (ii) genetic algorithm (GA), and (iii) the covariance matrix adaptation-evolution strategy (CMA-ES). The results show that CMA-ES parametrization produces similar transmittance results (≤1.5% of difference) to PSO in the first 40 generations. The CMA-ES results are identical in the SCL (1460–1625 nm) and OESCL (1260–1625 nm) bands, whereas the GA and PSO executions are slightly different in terms of the rate and similarity of the figure of merit.https://www.mdpi.com/2304-6732/10/2/152optimization methodsgenetic algorithmsoptical beam splittingintegrated opticssilicon on insulator |
spellingShingle | Roy Prosopio-Galarza J. Leonidas García-Gonzales Freddy Jara Maria Armas-Alvarado Jorge Gonzalez Ruth E. Rubio-Noriega Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters Photonics optimization methods genetic algorithms optical beam splitting integrated optics silicon on insulator |
title | Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters |
title_full | Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters |
title_fullStr | Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters |
title_full_unstemmed | Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters |
title_short | Angle-Based Parametrization with Evolutionary Optimization for OESCL-Band Y-Junction Splitters |
title_sort | angle based parametrization with evolutionary optimization for oescl band y junction splitters |
topic | optimization methods genetic algorithms optical beam splitting integrated optics silicon on insulator |
url | https://www.mdpi.com/2304-6732/10/2/152 |
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