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arXiv · 1507.04438

Approximation Algorithms for Generalized MST and TSP in Grid Clusters

Binay Bhattacharya·Ante Ćustić·Akbar Rafiey·Arash Rafiey·Vladyslav Sokol
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Abstract

We consider a special case of the generalized minimum spanning tree problem (GMST) and the generalized travelling salesman problem (GTSP) where we are given a set of points inside the integer grid (in Euclidean plane) where each grid cell is $1 \times 1$. In the MST version of the problem, the goal is to find a minimum tree that contains exactly one point from each non-empty grid cell (cluster). Similarly, in the TSP version of the problem, the goal is to find a minimum weight cycle containing one point from each non-empty grid cell. We give a $(1+4\sqrt{2}+\epsilon)$ and $(1.5+8\sqrt{2}+\epsilon)$-approximation algorithm for these two problems in the described setting, respectively. Our motivation is based on the problem posed in [7] for a constant approximation algorithm. The authors designed a PTAS for the more special case of the GMST where non-empty cells are connected end dense enough. However, their algorithm heavily relies on this connectivity restriction and is unpractical. Our results develop the topic further.

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Binay Bhattacharya, Ante Ćustić, Akbar Rafiey, Arash Rafiey, Vladyslav Sokol. 2015-07-16. Approximation Algorithms for Generalized MST and TSP in Grid Clusters. https://arxiv.org/abs/1507.04438

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