On the Parameterized Complexity of Some Optimization Problems Related to Multiple-Interval Graphs

被引:0
|
作者
Jiang, Minghui [1 ]
机构
[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
关键词
EXTREMAL VALUES; NUMBER;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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{t(O(k)), 2(O(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 Will-hardness of k-INDEPENDENT SET in t-track interval graphs to obtain the first parameterized intractability result for a recent bioinfonuatics 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.
引用
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页码:125 / 137
页数:13
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