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:
AutoreEmail
Masone, Adrianoadriano.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:
nomeemail
Riccio, Danieledaniele.riccio@unina.it
Tutor:
nomeemail
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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