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[Bil05c] Different formulations for solving the heaviest k-subgraph problemRevue Internationale avec comité de lecture : Journal INFOR, vol. 43(3), pp. 171-186, 2005Mots clés: Heaviest k-subgraph problem, mixed-integer linear programming, upper bounds, experiments.
Résumé:
We consider the heaviest k-subgraph problem (HSP), i.e. determine a block of k nodes of a weighted graph (of n nodes) such that the total edge weight within the subgraph induced by the block is maximized. The aim of the paper is to show what can be expected from mixed-integer linear programming for solving this problem. We compare from a theoretical and practical point of view different MIP formulations of HSP. Computational experiments when the weight of each edge is equal to 1 are reported. They show that the MIP approach is particularly efficient for dense instances.
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