Description
Scale-free graphs generated following the Barabási-Albert method, then selected for induced width. The weights of the constraint arcs are set such that at least one solution exists (i.e. the graph contains no negative cycles and the STN is consistent). This archive contains 160 graphs on 250–1000 vertices, 2176–3330 edges, upper bound on treewidth 150–200. The scale-free density parameter for this selection is 3–15. Parent item: Benchmark instances for experiments in ["Computing All-Pairs Shortest Paths by Leveraging Low Treewidth" (paper, 2012)]
| Date made available | 9 Mar 2012 |
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| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 3 Sept 2012 - 23 Jul 2020 |
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Computing all-pairs shortest paths by leveraging low treewidth
Planken, L., de Weerdt, M. & van der Krogt, P., 2012, In: The Journal of Artificial Intelligence Research. 43, p. 353-388 36 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Computing all-pairs shortest paths by leveraging low treewidth
Planken, L., de Weerdt, M. & van der Krogt, R., 2011, Proceedings 21st International Conference on Automated Planning and Scheduling. Helmert, M. & Edelkamp, S. (eds.). Palo Alto, CA, USA: American Association for Artificial Intelligence (AAAI), p. 170-177 8 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
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