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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Electric ; Green vehicle routing; Iterated local search; Mixed fleet; Pollution routing
List of contributors:
DI PUGLIA PUGLIESE, Luigi
Authors of the University:
DI PUGLIA PUGLIESE LUIGI
Handle:
https://iris.cnr.it/handle/20.500.14243/385450
Published in:
COMPUTERS & OPERATIONS RESEARCH
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-85052092225&origin=inward
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