UAVs routes optimization on smart cities and regions.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMarques Júnior, Elias Lawrence-
Autor(es): dc.creatorCoelho, Vitor Nazário-
Autor(es): dc.creatorCoelho, Igor Machado-
Autor(es): dc.creatorFrota, Yuri Abitbol de Menezes-
Autor(es): dc.creatorKoochaksaraei, Roozbeh Haghnazar-
Autor(es): dc.creatorOchi, Luiz Satoru-
Autor(es): dc.creatorCoelho, Bruno Nazário-
Data de aceite: dc.date.accessioned2025-08-21T15:12:32Z-
Data de disponibilização: dc.date.available2025-08-21T15:12:32Z-
Data de envio: dc.date.issued2024-12-04-
Data de envio: dc.date.issued2024-12-04-
Data de envio: dc.date.issued2021-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/19294-
Fonte completa do material: dc.identifierhttps://doi.org/10.1051/ro/2022036-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1005922-
Descrição: dc.descriptionUnmanned Aerial Vehicles are becoming a common technology used on smart cities and smart regions, thus requiring optimization of its routes with crucial importance. In this innovative work, six objective functions are optimized in order to provide sets of non-dominated solutions, composed of routes with different characteristics. Realistic constraints are considered such as obstacles and areas in which drones could not pass through. A didactic case of study considering points of a graph is used in order to illustrate a smart city composed of different regions. Obtained solutions are analyzed using a state-of-the-art visualization tool, which guides the comprehension of harmony and conflicts between objectives.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: PDF do artigo.-
Título: dc.titleUAVs routes optimization on smart cities and regions.-
Aparece nas coleções:Repositório Institucional - UFOP

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