Interdicting facilities in tree networks
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Nicolas Fröhlich [1] ; Stefan Ruzika [1]
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[1] University of Kaiserslautern
University of Kaiserslautern
Kreisfreie Stadt Kaiserslautern, Alemania
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- Localización: Top, ISSN-e 1863-8279, ISSN 1134-5764, Vol. 30, Nº. 1, 2022, págs. 95-118
- Idioma: inglés
- Enlaces
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Resumen
This article investigates a network interdiction problem on a tree network: given a subset of nodes chosen as facilities, an interdictor may dissect the network by removing a size-constrained set of edges, striving to worsen the established facilities best possible. Here, we consider a reachability objective function, which is closely related to the covering objective function: the interdictor aims to minimize the number of customers that are still connected to any facility after interdiction.
For the covering objective on general graphs, this problem is known to be NPcomplete (Fröhlich and Ruzika In: On the hardness of covering-interdiction problems. Theor. Comput. Sci., 2021). In contrast to this, we propose a polynomialtime solution algorithm to solve the problem on trees. The algorithm is based on dynamic programming and reveals the relation of this location-interdiction problem to knapsack-type problems. However, the input data for the dynamic program must be elaborately generated and relies on the theoretical results presented in this article. As a result, trees are the frst known graph class that admits a polynomialtime algorithm for edge interdiction problems in the context of facility location planning.
