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Early work on optimization-based heuristics for the sliding tile puzzle

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

    Abstract

    Optimization-based heuristics may offer very good estimates. But, calculating them may be time consuming, especially if the optimization problem is intractable. This raises the question of their applicability. This paper summarizes early work from the year 2000 on optimization-based heuristics in the context of PDBs for the Tile-Puzzle. We show that an admissible heuristic based on Vertex-Cover (VC) can be calculated in reasonable time over a large collection of small PDBs. When larger PDBs are involved we suggest the idea of using another lookup table that precalculates and stores all possible relevant VC values. This table can be later looked up in a constant time during the search. We discuss the conditions under which this idea can be generalized. Experimental results demonstrate the applicability of these two ideas on the 15- and 24-Puzzle. The first idea appeared in (Felner, Korf, and Hanan 2004) but the second idea is presented here for the first time.

    Original languageEnglish
    Title of host publicationPlanning, Search, and Optimization - Papers Presented at the 29th AAAI Conference on Artificial Intelligence, Technical Report
    PublisherAI Access Foundation
    Pages32-38
    Number of pages7
    ISBN (Electronic)9781577357230
    StatePublished - 1 Jan 2015
    Event29th AAAI Conference on Artificial Intelligence, AAAI 2015 - Austin, United States
    Duration: 25 Jan 201530 Jan 2015

    Publication series

    NameAAAI Workshop - Technical Report
    VolumeWS-15-12

    Conference

    Conference29th AAAI Conference on Artificial Intelligence, AAAI 2015
    Country/TerritoryUnited States
    CityAustin
    Period25/01/1530/01/15

    ASJC Scopus subject areas

    • General Engineering

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