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An exact approach for the multi-constraint graph partitioning problem

Diego Recalde (), Ramiro Torres () and Polo Vaca ()
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Diego Recalde: Escuela Politécnica Nacional
Ramiro Torres: Escuela Politécnica Nacional
Polo Vaca: Escuela Politécnica Nacional

EURO Journal on Computational Optimization, 2020, vol. 8, issue 3, No 5, 289-308

Abstract: Abstract In this work, a multi-constraint graph partitioning problem is introduced. The input is an undirected graph with costs on the edges and multiple weights on the nodes. The problem calls for a partition of the node set into a fixed number of clusters, such that each cluster satisfies a collection of node weight constraints, and the total cost of the edges whose end nodes are in the same cluster is minimized. It arises as a sub-problem of an integrated vehicle and pollster problem from a real-world application. Two integer programming formulations are provided, and several families of valid inequalities associated with the respective polyhedra are proved. An exact algorithm based on Branch & Bound and cutting planes is proposed, and it is tested on real-world instances.

Keywords: Graph partitioning; Integer programming; Branch & Cut; 90C10; 90C27; 90C57; 05C70 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13675-020-00126-9

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