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dc.contributor.authorDias, Leonardo Pereira-
dc.contributor.authorSantos, Alex Ferreira dos-
dc.contributor.authorPereira, Helder Alves-
dc.contributor.authorAlmeida Júnior, Raul Camelo de Andrade-
dc.contributor.authorGiozza, William Ferreira-
dc.contributor.authorSousa Júnior, Rafael Timóteo de-
dc.contributor.authorAssis, Karcius Day Rosario-
dc.date.accessioned2022-08-09T22:19:46Z-
dc.date.available2022-08-09T22:19:46Z-
dc.date.issued2022-04-20-
dc.identifier.citationDIAS, Leonardo Pereira et al. Evolutionary strategy for practical design of passive optical networks. Photonics, Basel, v. 9, n. 5, art. 278, 2022. DOI 10.3390/photonics9050278. Disponível em: https://www.mdpi.com/2304-6732/9/5/278. Acesso em: 09 ago. 2022.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/44471-
dc.language.isoPortuguêspt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleEvolutionary strategy for practical design of passive optical networkspt_BR
dc.typeArtigopt_BR
dc.subject.keywordAlgoritmos genéticospt_BR
dc.subject.keywordRede ópticapt_BR
dc.subject.keywordDesign práticopt_BR
dc.rights.licensePhotonics - Articles published in Photonics will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text: © 2022 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). Fonte: https://www.mdpi.com/journal/photonics/about. Acesso em: 09 ago. 2022.pt_BR
dc.identifier.doihttps://doi.org/10.3390/photonics9050278pt_BR
dc.description.abstract1Passive optical networks (PONs) are an important and interesting technology for broadband access as a result of the growing demand for bandwidth over the past 10 years. An arduous and complex step in the design of such networks involves determining the placement of equipment, optical fiber cables and several other parameters relevant to the proper functioning of the network. In this paper, we propose an evolutionary strategy to optimize the infrastructure design of PONs by using genetic algorithm technique. This meta-heuristic is capable of elaborating fast, automatic and efficient solutions for the design and planning of PONs. Our proposal has been developed using real maps, aiming to minimize deployment costs and time spent to carry out PON projects, achieving pre-defined quality criteria. We considered, in our simulations, two scenarios (non-dense and dense), four possible topologies and two regions of interest. The non-dense consists of a scenario in which subscribers are distributed in a dispersed manner in the region of interest. The dense has a considerably higher number of subscribers distributed in a very close way to each other. Based on the obtained results, the potential of our proposal is quite clear, as well as its relevance from a technical, economic, and commercial point of view.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5904-3572pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6451-0419pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4232-9317pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-2047-7167pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-3003-3458pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1101-3029pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9424-8810pt_BR
dc.contributor.emailleonardopd@ufba.brpt_BR
dc.contributor.emailalex.ferreira@ufrb.edu.brpt_BR
dc.contributor.emailhelder.pereira@dee.ufcg.edu.brpt_BR
dc.contributor.emailraul.almeidajunior@ufpe.brpt_BR
dc.contributor.emailgiozza@unb.brpt_BR
dc.contributor.emaildesousa@unb.brpt_BR
dc.contributor.emailkarcius.assis@ufba.brpt_BR
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