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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Panadero, Javier | - |
dc.contributor.author | Ammouriova, Majsa | - |
dc.contributor.author | Juan, Angel A. | - |
dc.contributor.author | Agustín Martín, Alba María | - |
dc.contributor.author | Nogal, Maria | - |
dc.contributor.author | Serrat Piè, Carles | - |
dc.contributor.other | Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) | - |
dc.contributor.other | Universitat Politècnica de València | - |
dc.contributor.other | Universidad Pública de Navarra | - |
dc.contributor.other | Delft University of Technology (TU Delft) | - |
dc.contributor.other | Universitat Politècnica de Catalunya (UPC) | - |
dc.date.accessioned | 2023-02-16T09:08:13Z | - |
dc.date.available | 2023-02-16T09:08:13Z | - |
dc.date.issued | 2021-12-19 | - |
dc.identifier.citation | Panadero, J., Ammouriova, M., Juan Perez, A.A., Agustín Martín, Alba, Nogal, M. & Serrat, C. (2021). Combining parallel computing and biased randomization for solving the team orienteering problem in real-time. Applied Sciences, 11(24), 12092. doi: 10.3390/app112412092 | - |
dc.identifier.issn | 2076-3417MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/147461 | - |
dc.description.abstract | In smart cities, unmanned aerial vehicles and self-driving vehicles are gaining increased concern. These vehicles might utilize ultra-reliable telecommunication systems, Internet-based technologies, and navigation satellite services to locate their customers and other team vehicles to plan their routes. Furthermore, the team of vehicles should serve their customers by specified due date efficiently. Coordination between the vehicles might be needed to be accomplished in real-time in exceptional cases, such as after a traffic accident or extreme weather conditions. This paper presents the planning of vehicle routes as a team orienteering problem. In addition, an ‘agile’ optimization algorithm is presented to plan these routes for drones and other autonomous vehicles. This algorithm combines an extremely fast biased-randomized heuristic and a parallel computing approach. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en |
dc.publisher | MDPI AG | - |
dc.relation.ispartof | Applied Sciences , 2021, 11(24) | - |
dc.relation.ispartofseries | Applied Sciences;11 | - |
dc.relation.uri | https://doi.org/10.3390/app112412092 | - |
dc.rights | CC BY 4.0 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | team orienteering problem | en |
dc.subject | problema d'orientació en equip | ca |
dc.subject | problema de orientación en equipo | es |
dc.subject | real-life optimization | en |
dc.subject | optimització de la vida real | ca |
dc.subject | optimización de la vida real | es |
dc.subject | parallel computing | en |
dc.subject | computació paral·lela | ca |
dc.subject | computación paralela | es |
dc.subject | biased randomization | en |
dc.subject | aleatorització esbiaixada | ca |
dc.subject | aleatorización sesgada | es |
dc.subject | smart cities | en |
dc.subject | ciutats intel·ligents | ca |
dc.subject | ciudades inteligentes | es |
dc.subject | unmanned aerial vehicles | en |
dc.subject | vehicles aeris no tripulats | ca |
dc.subject | vehículos aéreos no tripulados | es |
dc.subject.lcsh | smart cities | en |
dc.title | Combining Parallel Computing and Biased Randomization for Solving the Team Orienteering Problem in Real-Time | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.subject.lemac | ciutats intel·ligents | ca |
dc.subject.lcshes | ciudades inteligentes | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | https://doi.org/10.3390/app112412092 | - |
dc.gir.id | AR/0000009341 | - |
dc.type.version | info:eu-repo/semantics/publishedVersion | - |
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