Abstract
We consider the problem of computing shortest paths in a directed arc-weighted graph G = (V,A) in the presence of an adversary that can block (interdict), for each vertex v ∈ V, a given number p(v) of the arcs A out (v) leaving v. We show that if all arc-weights are non-negative then the single-destination version of the problem can be solved by a natural extension of Dijkstra’s algorithm in time
Our result can be viewed as a polynomial algorithm for a special case of the network interdiction problem where the adversary’s budget is node-wise limited. When the adversary can block a given number p of arcs distributed arbitrarily in the graph, the problem (p-most-vital-arcs problem) becomes NP-hard. This result is also closely related to so-called cyclic games. No polynomial algorithm computing the value of a cyclic game is known, though this problem belongs to both NP and coNP.
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Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows: Theory, Algorithms, and Applications. Prentice Hall, New Jersey (1993)
Ball, M.O., Golden, B.L., Vohra, R.V.: Finding the most vital arcs in a network. Operations Research Letters 8, 73–76 (1989)
Bar-Noy, A., Khuller, S., Schieber, B.: The complexity of finding most vital arcs and nodes, University of Maryland, Institute of Anvanced Computer Studies, College Park, MD, Technical Report CS-TR-3539 (1995)
Beffara, E., Vorobyov, S.: Adapting Gurvich-Karzanov-Khachiyan’s algorithm for parity games: Implementation and experimentation, Technical Report 020, Department of Information Technology, Uppsala University (2001), Available at: https://www.it.uu.se/research/reports/#2001
Beffara, E., Vorobyov, S.: Is randomized Gurvich-Karzanov-Khachiyan’s algorithm for parity games polynomial? Technical Report 025, Department of Information Technology, Uppsala University (2001), Available at: https://www.it.uu.se/research/reports/#2001
Björklund, H., Sandberg, S., Vorobyov, S.: A Combinatorial strongly subexponential strategy improvement algorithm for mean payoff games, DIMACS Technical Report 2004-05 (2004), Available at: http://dimacs.rutgers.edu/TechnicalReports/2004.html
Corely, H.W., Shaw, D.Y.: Most vital links and nodes in weighted networks. Operations Research Letters 1, 157–160 (1982)
Eherenfeucht, A., Mycielski, J.: Positional games over a graph. Notices of the American Mathematical Society 20, A-334 (1973)
Ehrenfeucht, A., Mycielski, J.: Positional strategies for mean payoff games. International Journal of Game Theory 8, 109–113 (1979)
Fredman, M.L., Tarjan, R.E.: Fibonacci heaps and their uses in improved network optimization algorithms. Journal of the ACM 34(3), 596–615 (1987)
Fulkerson, D.R., Harding, G.C.: Maximizing the minimum source-sink path subject to a budget constraint. Mathematical Programming 13, 116–118 (1977)
Gallai, T.: Maximum-minimum Sätze über Graphen. Acta Mathematica Academiae Scientiarum Hungaricae 9, 395–434 (1958)
Ghare, P.M., Montgomery, D.C., Turner, T.M.: Optimal interdiction policy for a flow network. Naval Research Logistics Quarterly 18, 37–45 (1971)
Golden, B.L.: A problem in network interdiction. Naval Research Logistics Quarterly 25, 711–713 (1978)
Goldschlager, L.M.: The monotone and planar circuit value problem are log space complete for P. SIGACT News 9(2), 25–29 (1977)
Greenlaw, R., Hoover, H.J., Ruzzo, W.L.: Limits to Parallel Computation: P-Completeness Theory. Oxford University Press, Oxford (1995)
Gurvich, V., Karzanov, A., Khachiyan, L.: Cyclic games and an algorithm to find minimax cycle means in directed graphs. USSR Computational Mathematics and Mathematical Physics 28, 85–91 (1988)
Israely, E., Wood, K.: Shortest-path network interdiction. Networks 40(2), 97–111 (2002)
Karp, R.: Reducibility among combinatorial problems. In: Miller, R.E., Thatcher, J.W. (eds.) Complexity of Computer Computations, pp. 85–103. Plenum Press, New York (1972)
Karp, R.: A Characterization of the Minimum Cycle Mean in a Digraph. Discrete Math. 23, 309–311 (1978)
Karzanov, A.V., Lebedev, V.N.: Cyclical games with prohibition. Mathematical Programming 60, 277–293 (1993)
Malik, K., Mittal, A.K., Gupta, S.K.: The k most vital arcs in the shortest path problem. Operations Research Letters 8, 223–227 (1989)
McMasters, A.W., Mustin, T.M.: Optimal interdiction of a supply networks. Naval Research Logistics Quarterly 17, 261–268 (1970)
Moulin, H.: Prolongement des jeux à deux joueurs de somme nulle. Bull. Soc. Math. France, Memoire 45 (1976)
Moulin, H.: Extension of two person zero sum games. Journal of Mathematical Analysis and Apllication 55(2), 490–507 (1976)
Phillips, C.A.: The network inhibition problem. In: Proceedings of the 25th Annual ACM Symposium on the Theory of Computing, pp. 776–785 (1993)
Pisaruk, N.N.: Mean cost cyclical games. Mathematics of Operations Research 24(4), 817–828 (1999)
Schrijver, A.: Combinatorial Optimization: Polyhedra and Efficiency. In: Algorithms and Combinatorics, vol. 24, Springer, Heidelberg (2003)
Wagner, D.K.: Disjoint (s,t)-cuts in a network. Networks 20, 361–371 (1990)
Washburn, A., Wood, K.: Two-person zero-sum games for network interdiction. Operations Research 43(2), 243–251 (1995)
Wood, R.K.: Deterministic network interdiction. Mathematical and Computer Modelling 17, 1–18 (1993)
Zwick, U., Paterson, M.: The complexity of mean payoff games on graphs. Theoretical Computer Science 158(1-2), 343–359 (1996)
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Khachiyan, L., Gurvich, V., Zhao, J. (2006). Extending Dijkstra’s Algorithm to Maximize the Shortest Path by Node-Wise Limited Arc Interdiction. In: Grigoriev, D., Harrison, J., Hirsch, E.A. (eds) Computer Science – Theory and Applications. CSR 2006. Lecture Notes in Computer Science, vol 3967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11753728_24
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DOI: https://doi.org/10.1007/11753728_24
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