A Random Restart Local Search Matheuristic for the Flying Sidekick Traveling Salesman Problem

Mauro Dell'amico, Roberto Montemanni, Stefano Novellani

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

Drones and unmanned vehicles in general are gaining more and more interest in the logistic sector, due to the potential economic advantages they can provide. In this paper we focus on optimizing the use of a drone in conjunction with a truck for urban deliveries, dealing with what is called the flying sidekick traveling salesman problem. There is a set of customers that it is possible to serve either by a truck or by a drone. The target is to minimize the total time required to complete deliveries to all the customers. In this paper we show how an effective and simple random restart local search heuristic algorithm can be derived from a known mixed integer programming model for the problem.

Idioma originalInglés
Título de la publicación alojadaICIEA 2021 Europe - 2021 8th International Conference on Industrial Engineering and Applications (Europe)
EditorialAssociation for Computing Machinery
Páginas205-209
Número de páginas5
ISBN (versión digital)9781450389921
DOI
EstadoPublicada - 8 ene. 2021
Publicado de forma externa
Evento8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe - Virtual, Online, Espana
Duración: 8 ene. 202111 ene. 2021

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia8th International Conference on Industrial Engineering and Applications, ICIEA 2021-Europe
País/TerritorioEspana
CiudadVirtual, Online
Período8/01/2111/01/21

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