On the parameterized complexity of some optimization problems related to multiple-interval graphs

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Abstract

We show that for any constant t ≥ 2, k-INDEPENDENT SET and k-DOMINATING SET in t-track interval graphs are W[1]-hard. This settles an open question recently raised by Fellows, Hermelin, Rosamond, and Vialette.We also give an FPT algorithm for k-CLIQUE in t-interval graphs, parameterized by both k and t, with running time max{tO(k), 2O(k log k)} · poly(n), where n is the number of vertices in the graph. This slightly improves the previous FPT algorithm by Fellows, Hermelin, Rosamond, and Vialette. Finally, we use the W[1]-hardness of k-INDEPENDENT SET in t-track interval graphs to obtain the first parameterized intractability result for a recent bioinformatics problem called MAXIMAL STRIP RECOVERY (MSR). We show that MSR-d is W[1]-hard for any constant d ≥ 4 when the parameter is either the total length of the strips, or the total number of adjacencies in the strips, or the number of strips in the optimal solution. © Springer-Verlag Berlin Heidelberg 2010.

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Jiang, M. (2010). On the parameterized complexity of some optimization problems related to multiple-interval graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6129 LNCS, pp. 125–137). https://doi.org/10.1007/978-3-642-13509-5_12

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