Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.endm.2016.10.023 | Electronic Notes in Discrete Mathematics |
Keywords | Field | DocType |
Vehicle Routing,Refueling,Alternative Fuel Vehicles,Efficient set of Alternative Fuel Stations,Mixed Integer Programming | Alternative fuel vehicle,Vehicle routing problem,Mathematical optimization,Green vehicle,Alternative fuels,Integer programming,Mathematics | Journal |
Volume | ISSN | Citations |
55 | 1571-0653 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maurizio Bruglieri | 1 | 110 | 13.34 |
| Simona Mancini | 2 | 18 | 4.35 |
| Ferdinando Pezzella | 3 | 35 | 3.65 |
| Ornella Pisacane | 4 | 116 | 10.20 |