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A new Mathematical Programming Model for the Green Vehicle Routing Problem

Academic Article
Publication Date:
2016
abstract:
A new MILP formulation for the Green Vehicle Routing Problem is introduced where the visits to the Alternative Fuel Stations (AFSs) are only implicitly considered. The number of variables is also reduced by pre-computing for each couple of customers an efficient set of AFSs, only given by those that may be actually used in an optimal solution. Numerical experiments on benchmark instances show that our model outperforms the previous ones proposed in the literature.
Iris type:
1.1 Articolo in rivista
Keywords:
Vehicle Routing; Refueling; Alternative Fuel Vehicles; Efficient set of Alternative Fuel Stations; Mixed Integer Programming
List of contributors:
Bruglieri, Maurizio; Mancini, Simona; Pezzella, Ferdinando; Pisacane, Ornella
Authors of the University:
PISACANE ORNELLA
Handle:
https://iris.uniecampus.it/handle/11389/21258
Published in:
ELECTRONIC NOTES IN DISCRETE MATHEMATICS
Journal
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URL

http://www.sciencedirect.com/science/article/pii/S1571065316301792
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