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Approximation algorithms for the geometric covering salesman problem
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On the approximability of the traveling salesman problem (extended abstract)
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A fast approximation algorithm for TSP with neighborhoods
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WG '91 Proceedings of the 17th International Workshop
TSP with Neighborhoods of Varying Size
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Approximation algorithms for TSP with neighborhoods in the plane
Journal of Algorithms - Special issue: Twelfth annual ACM-SIAM symposium on discrete algorithms
Approximation algorithms for TSP with neighborhoods in the plane
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Node-Weighted Steiner Tree and Group Steiner Tree in Planar Graphs
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Approximating corridors and tours via restriction and relaxation techniques
ACM Transactions on Algorithms (TALG)
Theoretical Computer Science
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Selective graph coloring in some special classes of graphs
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Coherent image selection using a fast approximation to the generalized traveling salesman problem
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Visiting convex regions in a polygonal map
Robotics and Autonomous Systems
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We prove that various geometric covering problems related to the Traveling Salesman Problem cannot be efficiently approximated to within any constant factor unless P = NP. This includes the Group-Traveling Salesman Problem (TSP with Neighborhoods) in the Euclidean plane, the Group-Steiner-Tree in the Euclidean plane and the Minimum Watchman Tour and Minimum Watchman Path in 3-D. Some inapproximability factors are also shown for special cases of the above problems, where the size of the sets is bounded. Group-TSP and Group-Steiner-Tree where each neighborhood is connected are also considered. It is shown that approximating these variants to within any constant factor smaller than 2 is NP-hard.For the Group-Traveling Salesman and Group-Steiner-Tree Problems in dimension d, we show an inapproximability factor of O(log(d驴1)/dn) under a plausible conjecture regarding the hardness of Hyper-Graph Vertex-Cover.