Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities

  • Oren Salzman
  • , Ariel Felner
  • , Carlos Hernandez
  • , Han Zhang
  • , Shao Hung Chan
  • , Sven Koenig

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

    18 Scopus citations

    Abstract

    In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost functions. This problem is important for a diverse range of applications such as transporting hazardous materials considering travel distance and risk. This family of problems is not new with results dating back to the 1970's. Nevertheless, the significant progress made in the field of heuristic search resulted in a new and growing interest in the sub-field of multi-objective search. Consequently, in this paper we review the fundamental problems and techniques common to most algorithms and provide a general overview of the field. We then continue to describe recent work with an emphasis on new challenges that emerged and the resulting research opportunities.

    Original languageEnglish
    Title of host publicationProceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
    EditorsEdith Elkind
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages6759-6768
    Number of pages10
    ISBN (Electronic)9781956792034
    DOIs
    StatePublished - 1 Jan 2023
    Event32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China
    Duration: 19 Aug 202325 Aug 2023

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    Volume2023-August
    ISSN (Print)1045-0823

    Conference

    Conference32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
    Country/TerritoryChina
    CityMacao
    Period19/08/2325/08/23

    ASJC Scopus subject areas

    • Artificial Intelligence

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