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Dataset for the cumulative unmanned aerial vehicle routing problem.
Kyriakakis, Nikolaos A; Stamadianos, Themistoklis; Marinaki, Magdalene; Marinakis, Yannis.
Afiliação
  • Kyriakakis NA; Technical University of Crete, School of Production Engineering and Management, University Campus, 73100 Chania, Greece.
  • Stamadianos T; Technical University of Crete, School of Production Engineering and Management, University Campus, 73100 Chania, Greece.
  • Marinaki M; Technical University of Crete, School of Production Engineering and Management, University Campus, 73100 Chania, Greece.
  • Marinakis Y; Technical University of Crete, School of Production Engineering and Management, University Campus, 73100 Chania, Greece.
Data Brief ; 48: 109296, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37383775
The Cumulative Unmanned Aerial Vehicle Routing Problem applies to area covering operations using UAVs. It is defined on a graph, the nodes of which, ensure the complete coverage of the underlying area of interest. The data generation process takes into account the characteristics of such operations, in particular, the viewing window of the UAVs' sensor, their maximum range, the size of the UAV fleet and the unknown locations of the targets within the area of interest. Instances are created simulating different scenarios, using different values for those UAV characteristics, as well as the different locations where the search targets might be positioned in the area of interest.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article