RT Journal Article
T1 A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges
A1 Felipe Ortega, Ángel
A1 Ortuño Sánchez, María Teresa
A1 Righini, Giovanni
A1 Tirado Domínguez, Gregorio
AB This paper presents several heuristics for a variation of the vehicle routing problem in which the transportation fleet is composed of electric vehicles with limited autonomy in need for recharge during their duties. In addition to the routing plan, the amount of energy recharged and the technology used must also be determined. Constructive and local search heuristics are proposed, which are exploited within a non deterministic Simulated Annealing framework. Extensive computational results on varying instances are reported, evaluating the performance of the proposed algorithms and analyzing the distinctive elements of the problem (size, geographical configuration, recharge stations, autonomy, technologies, etc.).
PB Elsevier
SN 1366-5545
YR 2014
FD 2014
LK https://hdl.handle.net/20.500.14352/33769
UL https://hdl.handle.net/20.500.14352/33769
LA eng
NO Felipe, Ángel, M. Teresa Ortuño, Giovanni Righini, y Gregorio Tirado. «A Heuristic Approach for the Green Vehicle Routing Problem with Multiple Technologies and Partial Recharges». Transportation Research Part E: Logistics and Transportation Review 71 (noviembre de 2014): 111-28. https://doi.org/10.1016/j.tre.2014.09.003.
NO Gobierno de España
DS Docta Complutense
RD 18 abr 2025