Abstract
Given a metric graph \(G = (V, E, w)\) and an integer k, we aim to find a single allocation k-hub location, which is a spanning subgraph consisting of a clique of size k and an independent set of size \(|V|-k\), such that each node in the independent set is adjacent to exactly one node in the clique. For various optimization objective functions studied in the literature, we present improved hardness and approximation results.
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Notes
- 1.
The \(\Updelta _{\beta }\) metric uses the parameterized triangle inequality \(w(v_1, v_2) \le \beta (w(v_1, u) + w(u, v_2))\), for all nodes \(v_1, v_2, u \in V\).
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Acknowledgements
XW, GC, YC and AZ are supported by the NSFC Grants 11771114 and 11971139; YC and AZ are supported by the CSC Grants 201508330054 and 201908330090, respectively. GL is supported by the NSERC Canada.
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Wang, X., Chen, G., Chen, Y., Lin, G., Wang, Y., Zhang, A. (2020). Improved Hardness and Approximation Results for Single Allocation Hub Location. In: Zhang, Z., Li, W., Du, DZ. (eds) Algorithmic Aspects in Information and Management. AAIM 2020. Lecture Notes in Computer Science(), vol 12290. Springer, Cham. https://doi.org/10.1007/978-3-030-57602-8_8
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