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- W2068671103 abstract "We describe a branch-and-bound algorithm for the quadratic assignment problem (QAP) that uses a convex quadratic programming (QP) relaxation to obtain a bound at each node. The QP subproblems are approximately solved using the Frank-Wolfe algorithm, which in this case requires the solution of a linear assignment problem on each iteration. Our branching strategy makes extensive use of dual information associated with the QP subproblems. We obtain state-of-the-art computational results on large benchmark QAPs" @default.
- W2068671103 created "2016-06-24" @default.
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- W2068671103 date "2001-01-01" @default.
- W2068671103 modified "2023-09-26" @default.
- W2068671103 title "Solving quadratic assignment problems using convex quadratic programming relaxations" @default.
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- W2068671103 doi "https://doi.org/10.1080/10556780108805828" @default.
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