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Reconfiguring Shortest Paths in Graphs

  • Kshitij Gajjar
  • , Agastya Vibhuti Jha
  • , Manish Kumar
  • , Abhiruk Lahiri

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Scopus citations

    Abstract

    Reconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time, so that all the intermediate paths are also shortest paths. This problem has several natural applications, namely: (a) revamping road networks, (b) rerouting data packets in a synchronous multiprocessing setting, (c) the shipping container stowage problem, and (d) the train marshalling problem. When modelled as graph problems, (a) is the most general case while (b), (c) and (d) are restrictions to different graph classes. We show that (a) is intractable, even for relaxed variants of the problem. For (b), (c) and (d), we present efficient algorithms to solve the respective problems. We also generalize the problem to when at most k (for some k ≥ 2) contiguous vertices on a shortest path can be changed at a time.

    Original languageEnglish
    Title of host publicationAAAI-22 Technical Tracks 9
    PublisherAssociation for the Advancement of Artificial Intelligence
    Pages9758-9766
    Number of pages9
    ISBN (Electronic)1577358767, 9781577358763
    DOIs
    StatePublished - 30 Jun 2022
    Event36th AAAI Conference on Artificial Intelligence, AAAI 2022 - Virtual, Online
    Duration: 22 Feb 20221 Mar 2022

    Publication series

    NameProceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
    Volume36

    Conference

    Conference36th AAAI Conference on Artificial Intelligence, AAAI 2022
    CityVirtual, Online
    Period22/02/221/03/22

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    ASJC Scopus subject areas

    • Artificial Intelligence

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