This paper presents three enhanced formulations for the flying sidekick traveling salesman problem, where a truck and a drone cooperate to deliver parcels to customers minimizing the completion time. The drone can leave and must return to the truck after visiting one customer, performing flights not exceeding its battery endurance while the truck can serve other customers. The new formulations allow to decrease the number of “big-M” constraints with respect to literature models and improve previous results by solving to optimality several benchmark instances for which an optimal solution was previously unknown. This paper also shows how to modify the new models to include several variants of the problem from the literature.
Dell'Amico M., Montemanni R., Novellani S. (2022). Exact models for the flying sidekick traveling salesman problem. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 29(3), 1360-1393 [10.1111/itor.13030].
Exact models for the flying sidekick traveling salesman problem
Dell'Amico M.;Novellani S.
2022
Abstract
This paper presents three enhanced formulations for the flying sidekick traveling salesman problem, where a truck and a drone cooperate to deliver parcels to customers minimizing the completion time. The drone can leave and must return to the truck after visiting one customer, performing flights not exceeding its battery endurance while the truck can serve other customers. The new formulations allow to decrease the number of “big-M” constraints with respect to literature models and improve previous results by solving to optimality several benchmark instances for which an optimal solution was previously unknown. This paper also shows how to modify the new models to include several variants of the problem from the literature.File | Dimensione | Formato | |
---|---|---|---|
Int Trans Operational Res - 2021 - Dell Amico - Exact models for the flying sidekick traveling salesman problem.pdf
accesso aperto
Tipo:
Versione (PDF) editoriale
Licenza:
Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
Dimensione
333.55 kB
Formato
Adobe PDF
|
333.55 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.