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An Improved Lower Bound for Competitive Graph Exploration

Birx, A. ; Disser, Y. ; Hopp, A. ; Karousatou, C. (2021)
An Improved Lower Bound for Competitive Graph Exploration.
In: Theoretical Computer Science, 868
doi: 10.1016/j.tcs.2021.04.003
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

We give an improved lower bound of 10/3 on the competitive ratio for the exploration of an undirected, edge-weighted graph with a single agent that needs to return to the starting location after visiting all vertices. We assume that the agent has full knowledge of all edges incident to visited vertices, and, in particular, vertices have unique identifiers. Our bound improves a lower bound of 2.5 by Dobrev et al. and also holds for planar graphs, where it complements an upper bound of 16 by Megow et al. . The question whether a constant competitive ratio can be achieved in general remains open.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Birx, A. ; Disser, Y. ; Hopp, A. ; Karousatou, C.
Art des Eintrags: Bibliographie
Titel: An Improved Lower Bound for Competitive Graph Exploration
Sprache: Englisch
Publikationsjahr: 8 Mai 2021
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Theoretical Computer Science
Jahrgang/Volume einer Zeitschrift: 868
DOI: 10.1016/j.tcs.2021.04.003
URL / URN: https://www.sciencedirect.com/science/article/abs/pii/S03043...
Kurzbeschreibung (Abstract):

We give an improved lower bound of 10/3 on the competitive ratio for the exploration of an undirected, edge-weighted graph with a single agent that needs to return to the starting location after visiting all vertices. We assume that the agent has full knowledge of all edges incident to visited vertices, and, in particular, vertices have unique identifiers. Our bound improves a lower bound of 2.5 by Dobrev et al. and also holds for planar graphs, where it complements an upper bound of 16 by Megow et al. . The question whether a constant competitive ratio can be achieved in general remains open.

Fachbereich(e)/-gebiet(e): Exzellenzinitiative
Exzellenzinitiative > Graduiertenschulen
Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE)
Hinterlegungsdatum: 15 Jul 2022 06:58
Letzte Änderung: 15 Jul 2022 06:58
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