The Node Capacitated Graph Partitioning Problem: A Computational Study
Carlos E. Ferreira,
Cid C. de SOUZA,
Alexander Martin and
Robert Weismantel
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Carlos E. Ferreira: Universidade de Sao Paulo, Brazil
Cid C. de SOUZA: Universidade Estadual de Capinas, Brazil
Alexander Martin: Konrad-Zuse-Zentrum für Informationstechnik Berlin
Robert Weismantel: Konrad-Zuse-Zentrum für Informationstechnik Berlin
No 1994053, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
Abstract:
In this paper we consider the problem of k-partitioning the nodes of a graph with capacity restrictions on the sum of the node weights in each subset of the partition, and the objective of minimizing the sum of the costs of the edges between the subsets of the partition. Based on a study of valid inequalities, we present a variety of separation heuristics for cycle, cycle with ears, knapsack tree and path-block-cycle inequalities among others. The separation heuristics, plus primal heuristics, have been implemented in a branch-and-cut routine using a formulation including variables for the edges with nonzero costs and node partition variables. Results are presented for three classes of problems: equipartitioning problems arising in finite element methods and partitioning problems associated with electronic circuit layout and compiler design.
Keywords: branch-and-cut algorithm; clustering; compiler design; equipartitioning; finite element method; graph partitioning; layout of electronic circuits; separation heuristics (search for similar items in EconPapers)
Date: 1994-10-01
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1994053
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