Multi-objective optimization of SOI-based Mach-Zehnder modulators employing deep neural networks and a non-dominant genetic algorithm
| dc.contributor.author | De Paula, Romulo | |
| dc.contributor.author | Sutili, Tiago | |
| dc.contributor.author | Figueiredo, Rafael C. | |
| dc.contributor.author | Bustamante, Yesica R. R. | |
| dc.contributor.author | Hernandez-Figueroa, Hugo Enrique | |
| dc.contributor.author | Abreu, Leandra [UNESP] | |
| dc.contributor.author | Aldaya, Ivan [UNESP] | |
| dc.contributor.institution | Optical Networks Group | |
| dc.contributor.institution | Connectivity Solutions CPQD | |
| dc.contributor.institution | Infinera Unipessoal Lda. | |
| dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.date.accessioned | 2025-04-29T19:13:06Z | |
| dc.date.issued | 2024-01-01 | |
| dc.description.abstract | We combine an artificial neural network model of an integrated Mach-Zehnder modulator with a multi-objective optimization algorithm to optimize the modulator's parameters. The use of a multi-objective algorithm leads to a set of non-dominant optimized configurations with different values of figures of merit. | en |
| dc.description.affiliation | University College London (UCL) Optical Networks Group | |
| dc.description.affiliation | Connectivity Solutions CPQD | |
| dc.description.affiliation | Infinera Unipessoal Lda. | |
| dc.description.affiliation | State University of Campinas (Unicamp) School of Electrical and Computational Engineering | |
| dc.description.affiliation | São Paulo State University (Unesp) School of Engineering of São João da Boa Vista | |
| dc.description.affiliationUnesp | São Paulo State University (Unesp) School of Engineering of São João da Boa Vista | |
| dc.identifier | http://dx.doi.org/10.1109/OMN61224.2024.10685246 | |
| dc.identifier.citation | International Conference on Optical MEMS and Nanophotonics. | |
| dc.identifier.doi | 10.1109/OMN61224.2024.10685246 | |
| dc.identifier.issn | 2160-5041 | |
| dc.identifier.issn | 2160-5033 | |
| dc.identifier.scopus | 2-s2.0-85206145688 | |
| dc.identifier.uri | https://hdl.handle.net/11449/301933 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | International Conference on Optical MEMS and Nanophotonics | |
| dc.source | Scopus | |
| dc.subject | Mach-Zehnder modulator | |
| dc.subject | Optimization | |
| dc.subject | SOI | |
| dc.title | Multi-objective optimization of SOI-based Mach-Zehnder modulators employing deep neural networks and a non-dominant genetic algorithm | en |
| dc.type | Trabalho apresentado em evento | pt |
| dspace.entity.type | Publication | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Engenharia, São João da Boa Vista | pt |