Article ID: | iaor20042486 |
Country: | Netherlands |
Volume: | 122 |
Issue: | 1 |
Start Page Number: | 193 |
End Page Number: | 217 |
Publication Date: | Sep 2003 |
Journal: | Annals of Operations Research |
Authors: | Potvin Jean-Yves, Soriano Patrick, Gendron Bernard |
Keywords: | tabu search |
In this paper, a tabu search heuristic is combined with slope scaling to solve a discrete depot location problem, known as the multicommodity location problem with balancing requirements. Although the uncapacitated version of this problem has already been addressed in the literature, this is not the case for the more challenging capacitated version, where each depot has a fixed and finite capacity. The slope scaling approach is used during the initialization phase to provide the tabu search with good starting solutions. Numerical results are reported on various types of large-scale randomly generated instances. The quality of the heuristic is assessed by comparing the solutions obtained with those of a commercial mixed-integer programming code.