Article ID: | iaor2002479 |
Country: | Germany |
Volume: | 89 |
Issue: | 3 |
Start Page Number: | 341 |
End Page Number: | 357 |
Publication Date: | Jan 2001 |
Journal: | Mathematical Programming |
Authors: | Anstreicher K.M., Brixius N.W. |
Keywords: | quadratic assignment |
We describe a new convex quadratic programming bound for the quadratic assignment problem (QAP). The construction of the bound uses a semidefinite programming representation of a basic eigenvalue bound for QAP. The new bound dominates the well-known projected eigenvalue bound, and appears to be competitive with existing bounds in the trade-off between bound quality and computational effort.