Abstract
The Generalized Vehicle Routing Problem (GVRP) consists of nding a set of routes for a number of vehicles
with limited capacities on a graph with the vertices partitioned into clusters with given demands such that
the total cost of travel is minimized and all demands are met. This paper offers four new integer linear programming formulations for the GVRP, two based on multicommodity flow and the other two based on exponential sets of inequalities. Branch-and-cut algorithms are proposed for the latter two. Computational results on a large set of instances are presented.
| Original language | English |
|---|---|
| Journal | Transportation Science |
| Volume | 45 |
| Issue number | 3 |
| Pages (from-to) | 299-316 |
| ISSN | 0041-1655 |
| DOIs | |
| Publication status | Published - 2011 |
Keywords
- Branch-and-Cut
- Integer Programming
- Generalized Vehicle Routing