Masone, Adriano (2020) Optimization models and algorithms for unmanned aerial vehicle applications. [Tesi di dottorato]

[img]
Preview
Text
MASONE_ADRIANO_32.pdf

Download (4MB) | Preview
[error in script] [error in script]
Item Type: Tesi di dottorato
Resource language: English
Title: Optimization models and algorithms for unmanned aerial vehicle applications
Creators:
CreatorsEmail
Masone, Adrianoadriano.masone@unina.it
Date: 12 March 2020
Number of Pages: 147
Institution: Università degli Studi di Napoli Federico II
Department: 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, AntonioUNSPECIFIED
Paura, LuigiUNSPECIFIED
Date: 12 March 2020
Number of Pages: 147
Keywords: Unmanned aerial vehicles; optimization; vehicle routing problems;
Settori scientifico-disciplinari del MIUR: Area 01 - Scienze matematiche e informatiche > MAT/09 - Ricerca operativa
Date Deposited: 05 Apr 2020 15:09
Last Modified: 10 Nov 2021 09:35
URI: http://www.fedoa.unina.it/id/eprint/13100

Collection description

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.

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item