Dispersing Obnoxious Facilities on Graphs by Rounding Distances

preprint2022arXivOpen access

Abstract

We continue the study of δδ-dispersion, a continuous facility location problem on a graph where all edges have unit length and where the facilities may also be positioned in the interior of the edges. The goal is to position as many facilities as possible subject to the condition that every two facilities have distance at least δδ from each other. Our main technical contribution is an efficient procedure to `round-up' distance δδ. It transforms a δδ-dispersed set SS into a δ⋆δ^\star-dispersed set S⋆S^\star of same size where distance δ⋆δ^\star is a slightly larger rational ab\tfrac{a}{b} with a numerator aa upper bounded by the longest (not-induced) path in the input graph. Based on this rounding procedure and connections to the distance-dd independent set problem we derive a number of algorithmic results. When parameterized by treewidth, the problem is in XP. When parameterized by treedepth the problem is FPT and has a matching lower bound on its time complexity under ETH. Moreover, we can also settle the parameterized complexity with the solution size as parameter using our rounding technique: δδ-\dispersion is FPT for every δ≤2δ\leq 2 and W[1]-hard for every δ>2δ> 2. Further, we show that δδ-dispersion is NP-complete for every fixed irrational distance δδ, which was left open in a previous work.

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