2007
DOI: 10.1007/s00224-007-9090-x
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On Short Paths Interdiction Problems: Total and Node-Wise Limited Interdiction

Abstract: Given a directed graph G = (V, A) with a non-negative weight (length) function on its arcs w : A → R + and two terminals s, t ∈ V , our goal is to destroy all short directed paths from s to t in G by eliminating some arcs of A. This is known as the short paths interdiction problem. We consider several versions of it, and in each case analyze two subcases: total limited interdiction, when a fixed number k of arcs can be removed, and node-wise limited interdiction, when for each node v ∈ V a fixed number k(v) of… Show more

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Cited by 34 publications
(61 citation statements)
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“…gain) that Player M in (resp. Player M ax) can ensure to obtain from v. Moreover, as quantitative coalitional games are determined these values always exist and can be computed in polynomial time [7,8,13].…”
Section: Characterizationsmentioning
confidence: 99%
“…gain) that Player M in (resp. Player M ax) can ensure to obtain from v. Moreover, as quantitative coalitional games are determined these values always exist and can be computed in polynomial time [7,8,13].…”
Section: Characterizationsmentioning
confidence: 99%
“…The value problem is a generalisation of the classical shortest path problem in a weighted graph to the case of two-player games. If weights of edges are all non-negative, a generalised Dijkstra algorithm enables to solve it in polynomial time [21]. In the presence of negative weights, a pseudo-polynomial-time (i.e.…”
Section: Problemsmentioning
confidence: 99%
“…Furthermore, when setting r IJ = 1, the LP (20) has the same feasible vectors (y, r) as (18). We can thus focus on (20) instead of (18). One can interpret an edge cover F in G ′ as an interdiction strategy of the original problem as follows.…”
Section: Ptas By Exploiting Adjacency Structurementioning
confidence: 99%
“…For e ∈ E ′ ∪ {f } we set c(e) = 0. Using this notation, the best {0, 1}-solution to (20) can be interpreted as an edge cover F of G ′ that minimizes b(F ) under the constraint c(F ) ≤ B. One can observe that the best {0, 1}-solution to (20) corresponds to an optimal interdiction set for the original non-relaxed interdiction problem.…”
Section: Ptas By Exploiting Adjacency Structurementioning
confidence: 99%
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