Masone, Adriano (2020) Optimization models and algorithms for unmanned aerial vehicle applications. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Optimization models and algorithms for unmanned aerial vehicle applications |
| Autori: | Autore Email Masone, Adriano adriano.masone@unina.it |
| Data: | 12 Marzo 2020 |
| Numero di pagine: | 147 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 32 |
| Coordinatore del Corso di dottorato: | nome email Riccio, Daniele daniele.riccio@unina.it |
| Tutor: | nome email Sforza, Antonio [non definito] Paura, Luigi [non definito] |
| Data: | 12 Marzo 2020 |
| Numero di pagine: | 147 |
| Parole chiave: | Unmanned aerial vehicles; optimization; vehicle routing problems; |
| Settori scientifico-disciplinari del MIUR: | Area 01 - Scienze matematiche e informatiche > MAT/09 - Ricerca operativa |
| Depositato il: | 05 Apr 2020 15:09 |
| Ultima modifica: | 10 Nov 2021 09:35 |
| URI: | http://www.fedoa.unina.it/id/eprint/13100 |
Abstract
Unmanned aerial vehicles (UAVs) or drones are currently in the prominence of technology expansion of many organizations in different application fields including logistics, surveillance, security, emergency response, agriculture, and investigative science. Indeed, recent advances in unmanned vehicle technology set up new opportunities to increase the efficiency and effectiveness of drone systems that can be exploited by these organizations. However, there are many complex issues in modeling, solving, and implementing drone systems. These issues constitute a topic receiving considerable attention in the last years but the operations research community has only recently started to focus on them with particular reference to the logistic applications. This thesis brings together an overview of drone technology and applications, and a state-of-the-art of the operational research contributions to the optimization of drone systems. Moreover, it presents three optimization approaches to solve problems which consider the use of a truck and a drone to exploit the advantages of both the vehicles for last-mile deliveries.
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