The Electric Traveling Salesman Problem (ETSP) is a variant of the well-known TSP in which an electric vehicle must visit a set of customers minimizing the total cost of its route. The vehicle is assumed to be equipped with a battery of limited capacity that may need to be recharged along the route. A set of available recharge stations is given, where recharges can be done at given energy prices. The objective is to minimize the total cost of the energy consumed. We consider the symmetric version of the problem, we introduce a mathematical programming formulation, and we solve it with a branch-and-price algorithm, where columns correspond to station-to-station paths.

A Branch‐and‐Price Algorithm for the Symmetric Electric Traveling Salesman Problem / A. Ceselli, C.O.. - In: NETWORKS. - ISSN 0028-3045. - 88:3(2026 Oct), pp. 354-368. [10.1002/net.70057]

A Branch‐and‐Price Algorithm for the Symmetric Electric Traveling Salesman Problem

A. Ceselli
Primo
;
C. Ondei
Secondo
;
G. Righini
Ultimo
2026

Abstract

The Electric Traveling Salesman Problem (ETSP) is a variant of the well-known TSP in which an electric vehicle must visit a set of customers minimizing the total cost of its route. The vehicle is assumed to be equipped with a battery of limited capacity that may need to be recharged along the route. A set of available recharge stations is given, where recharges can be done at given energy prices. The objective is to minimize the total cost of the energy consumed. We consider the symmetric version of the problem, we introduce a mathematical programming formulation, and we solve it with a branch-and-price algorithm, where columns correspond to station-to-station paths.
branch-and-price; column generation; traveling salesman problem
Settore MATH-06/A - Ricerca operativa
Settore INFO-01/A - Informatica
ott-2026
10-lug-2026
Article (author)
File in questo prodotto:
File Dimensione Formato  
57 - 2026 Networks - ETSP.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Licenza: Creative commons
Dimensione 1.67 MB
Formato Adobe PDF
1.67 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1275839
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact