Abstract
In an edge-colored graph, the cost incurred at a vertex on a path when two incident edges with different colors are traversed is called reload or changeover cost. The Minimum Changeover Cost Arborescence (\(\textsc {MinCCA}\)) problem consists in finding an arborescence with a given root vertex such that the total changeover cost of the internal vertices is minimized. It has been recently proved by Gözüpek et al. [14] that the \(\textsc {MinCCA}\) problem is \(\mathsf{FPT}\) when parameterized by the treewidth and the maximum degree of the input graph. In this article we present the following results for \(\textsc {MinCCA}\):
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the problem is W[1]-hard parameterized by the treedepth of the input graph, even on graphs of average degree at most 8. In particular, it is W[1]-hard parameterized by the treewidth of the input graph, which answers the main open problem of [14];
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it is W[1]-hard on multigraphs parameterized by the tree-cutwidth of the input multigraph;
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it is \(\mathsf{FPT}\) parameterized by the star tree-cutwidth of the input graph, which is a slightly restricted version of tree-cutwidth. This result strictly generalizes the \(\mathsf{FPT}\) result given in [14];
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it remains NP-hard on planar graphs even when restricted to instances with at most 6 colors and 0/1 symmetric costs, or when restricted to instances with at most 8 colors, maximum degree bounded by 4, and 0/1 symmetric costs.
This work is supported by the bilateral research program of CNRS and TUBITAK under grant no.114E731.
M. Shalom—The work of this author is supported in part by the TUBITAK 2221 Programme.
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Notes
- 1.
This assumption is not crucial for the construction, but helps in making it conceptually and notationally easier.
- 2.
If the costs associated with colors are restricted to be strictly positive, we can just replace cost 0 with cost \(\varepsilon \), for an arbitrarily small positive real number \(\varepsilon \), and ask for an arborescence in H of cost strictly smaller than \({k \atopwithdelims ()2} + 1\).
References
Amaldi, E., Galbiati, G., Maffioli, F.: On minimum reload cost paths, tours, and flows. Networks 57(3), 254–260 (2011)
Arkoulis, S., Anifantis, E., Karyotis, V., Papavassiliou, S., Mitrou, N.: On the optimal, fair and channel-aware cognitive radio network reconfiguration. Comput. Netw. 57(8), 1739–1757 (2013)
Cygan, M., Fomin, F.V., Kowalik, L., Lokshtanov, D., Marx, D., Pilipczuk, M., Pilipczuk, M., Saurabh, S.: Parameterized Algorithms. Springer, Switzerland (2015)
de Berg, M., Khosravi, A.: Optimal binary space partitions for segments in the plane. Int. J. Comput. Geom. Appl. 22(3), 187–206 (2012)
Downey, R.G., Fellows, M.R.: Fundamentals of Parameterized Complexity. Texts in Computer Science. Springer, London (2013)
Çelenlioğlu, M. R., Gözüpek, D., Mantar, H. A.: A survey on the energy efficiency of vertical handover mechanisms. In: Proceedings of the International Conference on Wireless and Mobile Networks (WiMoN) (2013)
Flum, J., Grohe, M.: Parameterized Complexity Theory. Texts in Theoretical Computer Science. Springer, Heidelberg (2006)
Galbiati, G.: The complexity of a minimum reload cost diameter problem. Discrete Appl. Math. 156(18), 3494–3497 (2008)
Galbiati, G., Gualandi, S., Maffioli, F.: On minimum changeover cost arborescences. In: Pardalos, P.M., Rebennack, S. (eds.) SEA 2011. LNCS, vol. 6630, pp. 112–123. Springer, Heidelberg (2011)
Galbiati, G., Gualandi, S., Maffioli, F.: On minimum reload cost cycle cover. Discrete Appl. Math. 164, 112–120 (2014)
Ganian, R., Kim, E.J., Szeider, S.: Algorithmic applications of tree-cut width. In: Italiano, G.F., Pighizzini, G., Sannella, D.T. (eds.) MFCS 2015. LNCS, vol. 9235, pp. 348–360. Springer, Heidelberg (2015)
Gourvès, L., Lyra, A., Martinhon, C., Monnot, J.: The minimum reload s-t path, trail and walk problems. Discrete Appl. Math. 158(13), 1404–1417 (2010)
Gozupek, D., Buhari, S., Alagoz, F.: A spectrum switching delay-aware scheduling algorithm for centralized cognitive radio networks. IEEE Trans. Mobile Comput. 12(7), 1270–1280 (2013)
Gözüpek, D., Shachnai, H., Shalom, M., Zaks, S.: Constructing minimum changeover cost arborescenses in bounded treewidth graphs. Theorerical Comput. Sci. 621, 22–36 (2016)
Gözüpek, D., Shalom, M., Voloshin, A., Zaks, S.: On the complexity of constructing minimum changeover cost arborescences. Theorerical Comput. Sci. 540, 40–52 (2014)
Kim, E., Oum, S., Paul, C., Sau, I., Thilikos, D.M.: An FPT 2-approximation for tree-cut decomposition. In: Sanità, L., et al. (eds.) WAOA 2015. LNCS, vol. 9499, pp. 35–46. Springer, Heidelberg (2015). doi:10.1007/978-3-319-28684-6_4
Niedermeier, R.: Invitation to Fixed-Parameter Algorithms, vol. 31. Oxford University Press, Oxford (2006)
Pietrzak, K.: On the parameterized complexity of the fixed alphabet shortest common supersequence and longest common subsequence problems. J. Comput. Syst. Sci. 67(4), 757–771 (2003)
Wirth, H.-C., Steffan, J.: Reload cost problems: minimum diameter spanning tree. Discrete Appl. Math. 113(1), 73–85 (2001)
Wollan, P.: The structure of graphs not admitting a fixed immersion. J. Comb. Theor. Ser. B 110, 47–66 (2015)
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Gözüpek, D., Özkan, S., Paul, C., Sau, I., Shalom, M. (2016). Parameterized Complexity of the MINCCA Problem on Graphs of Bounded Decomposability. In: Heggernes, P. (eds) Graph-Theoretic Concepts in Computer Science. WG 2016. Lecture Notes in Computer Science(), vol 9941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53536-3_17
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