Improved semidefinite programming bounds for quadratic assignment problems with suitable symmetry
Improved semidefinite programming bounds for quadratic assignment problems with suitable symmetry
Semidefinite programming (SDP) bounds for the quadratic assignment problem (QAP) were introduced in Zhao et al. (J Comb Optim 2:71–109, 1998). Empirically, these bounds are often quite good in practice, but computationally demanding, even for relatively small instances. For QAP instances where the data matrices have large automorphism groups, these …