An exact approach for the multi-constraint graph partitioning problem

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 n...

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Main Authors: Diego Recalde, Ramiro Torres, Polo Vaca
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:EURO Journal on Computational Optimization
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2192440621001313
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author Diego Recalde
Ramiro Torres
Polo Vaca
author_facet Diego Recalde
Ramiro Torres
Polo Vaca
author_sort Diego Recalde
collection DOAJ
description 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.
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spelling doaj.art-5d5107523e8947faa2d68e575fb9853f2022-12-21T22:43:40ZengElsevierEURO Journal on Computational Optimization2192-44062020-10-0183289308An exact approach for the multi-constraint graph partitioning problemDiego Recalde0Ramiro Torres1Polo Vaca2Department of Mathematics, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito, Ecuador.; Research Center on Mathematical Modelling (MODEMAT), Escuela Politécnica Nacional, Quito, Ecuador.Department of Mathematics, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito, Ecuador.Department of Mathematics, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito, Ecuador.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.http://www.sciencedirect.com/science/article/pii/S219244062100131390C1090C2790C5705C70
spellingShingle Diego Recalde
Ramiro Torres
Polo Vaca
An exact approach for the multi-constraint graph partitioning problem
EURO Journal on Computational Optimization
90C10
90C27
90C57
05C70
title An exact approach for the multi-constraint graph partitioning problem
title_full An exact approach for the multi-constraint graph partitioning problem
title_fullStr An exact approach for the multi-constraint graph partitioning problem
title_full_unstemmed An exact approach for the multi-constraint graph partitioning problem
title_short An exact approach for the multi-constraint graph partitioning problem
title_sort exact approach for the multi constraint graph partitioning problem
topic 90C10
90C27
90C57
05C70
url http://www.sciencedirect.com/science/article/pii/S2192440621001313
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