This work presents a new variant of the Green Vehicle Routing Problem with time windows. We propose an iterative local search heuristic to optimize the routing of a mixed vehicle fleet, composed of electric and conventional (internal combustion engine) vehicles. Since the batteries of electric vehicles have a limited autonomy of the battery, we consider the possibility of recharging partially at any of the available stations. In addition, we explicitly take into account a limitation on the polluting emissions for the conventional vehicles. The behaviour of the proposed approach is evaluated empirically on a large set of test instances.

The green mixed fleet vehicle routing problem with partial battery recharging and time windows

Macrina, Giusy;Di Puglia Pugliese, Luigi;Guerriero, Francesca;
2019

Abstract

This work presents a new variant of the Green Vehicle Routing Problem with time windows. We propose an iterative local search heuristic to optimize the routing of a mixed vehicle fleet, composed of electric and conventional (internal combustion engine) vehicles. Since the batteries of electric vehicles have a limited autonomy of the battery, we consider the possibility of recharging partially at any of the available stations. In addition, we explicitly take into account a limitation on the polluting emissions for the conventional vehicles. The behaviour of the proposed approach is evaluated empirically on a large set of test instances.
Electric vehicles; Green vehicle routing; Iterated local search; Mixed fleet; Pollution routing; Computer Science (all); Modeling and Simulation; Management Science and Operations Research
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Descrizione: DOI: 10.1016/j.cor.2018.07.012
Tipologia: Documento in Pre-print
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/289884
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