Article ID: | iaor20061017 |
Country: | Netherlands |
Volume: | 139 |
Issue: | 1 |
Start Page Number: | 65 |
End Page Number: | 94 |
Publication Date: | Oct 2005 |
Journal: | Annals of Operations Research |
Authors: | Drezner Zvi, Taillard ric D., Hahn Peter M. |
Keywords: | heuristics, programming: integer |
This paper reports heuristic and exact solution advances for the Quadratic Assignment Problem (QAP). QAP instances most often discussed in the literature are relatively well solved by heuristic approaches. Indeed, solutions at a fraction of one percent from the best known solution values are rapidly found by most heuristic methods. Exact methods are not able to prove optimality for these instances as soon as the problem size approaches 30 to 40. This article presents new QAP instances that are ill conditioned for many metaheuristic-based methods. However, these new instances are shown to be solved relatively well by some exact methods, since problem instances up to a size of 75 have been exactly solved.