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A near linear shortest path algorithm for weighted undirected graphs

  • Muhammad Aasim Qureshi*
  • , Mohd Fadzil Hassan
  • , Sohail Safdar
  • , Rehan Akbar
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Abstract

    This paper presents an algorithm for Shortest Path Tree (SPT) problem. The presented algorithm is an improvement over a previously published work of the authors. The effort is put in to improve the running/execution time of the SPT problem. Introduced improvement is simple and easy to incorporate in to the existing algorithm. This algorithm uses Depth First Search (DFS) like graph traversal during a BFS like traversal i.e. combines and take advantage of the inherent properties of the two heuristic graph search techniques so that vertex weights can be kept balanced. The need of improvement is discussed in detail and the expected improvement in overall processing time is shown with the example.

    Original languageEnglish
    Title of host publicationProceedings of the ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages119-124
    Number of pages6
    ISBN (Electronic)9781612846910
    ISBN (Print)9781612846897
    DOIs
    Publication statusPublished - 21 Jul 2011
    Event2011 IEEE Symposium on Computers and Informatics, ISCI 2011 - Kuala Lumpur, Malaysia
    Duration: 20 Mar 2011 → 22 Mar 2011

    Conference

    Conference2011 IEEE Symposium on Computers and Informatics, ISCI 2011
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period20/03/11 → 22/03/11

    Keywords

    • algorithm
    • graph theory
    • shortest path problem
    • theoretical computer science (TCS)

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