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Approximability of the Distance Independent Set Problem on Regular Graphs and Planar Graphs

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Combinatorial Optimization and Applications (COCOA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10043))

Abstract

This paper studies generalized variants of the maximum independent set problem, called the Maximum Distance-d Independent Set problem (\(\mathsf{MaxD}d\mathsf{IS}\) for short). For an integer \(d \ge 2\), a distance-d independent set of an unweighted graph \(G = (V, E)\) is a subset \(S \subseteq V\) of vertices such that for any pair of vertices \(u, v \in S\), the number of edges in any path between u and v is at least d in G. Given an unweighted graph G, the goal of \(\mathsf{MaxD}d\mathsf{IS}\) is to find a maximum-cardinality distance-d independent set of G. In this paper, we analyze the (in)approximability of the problem on r-regular graphs (\(r\ge 3\)) and planar graphs, as follows: (1) For every fixed integers \(d\ge 3\) and \(r\ge 3\), \(\mathsf{MaxD}d\mathsf{IS}\) on r-regular graphs is APX-hard. (2) We design polynomial-time \(O(r^{d-1})\)-approximation and \(O(r^{d-2}/d)\)-approximation algorithms for \(\mathsf{MaxD}d\mathsf{IS}\) on r-regular graphs. (3) We sharpen the above \(O(r^{d-2}/d)\)-approximation algorithms when restricted to \(d=r=3\), and give a polynomial-time 2-approximation algorithm for MaxD3IS on cubic graphs. (4) Finally, we show that \(\mathsf{MaxD}d\mathsf{IS}\) admits a polynomial-time approximation scheme (PTAS) for planar graphs.

This work is partially supported by JSPS KAKENHI Grant Numbers JP15J05484, JP15H00849, JP16K00004, and JP26330017.

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Correspondence to Zhilong Liu .

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Eto, H., Ito, T., Liu, Z., Miyano, E. (2016). Approximability of the Distance Independent Set Problem on Regular Graphs and Planar Graphs. In: Chan, TH., Li, M., Wang, L. (eds) Combinatorial Optimization and Applications. COCOA 2016. Lecture Notes in Computer Science(), vol 10043. Springer, Cham. https://doi.org/10.1007/978-3-319-48749-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-48749-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48748-9

  • Online ISBN: 978-3-319-48749-6

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