Towards a generic CNF simplifier for minimising structured problem hardness

Anbulagan*, John Slaney

*Corresponding author for this work

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

    Abstract

    CNF simplifiers play a very important role in minimising structured problem hardness. Altough they can be used in an in-search process, most of them serve in a pre-search phase and rely on one form or another of resolution. Based on our understanding about problem structure, in the paper, we extend the single pre-search process to a multiple one in order to further simplify the hard structure in a problem. This extension boosts the performance of state-of-theart clause learning and lookahead based SAT solvers when solving both satisfiable and unsatisfiable instances of many real-world hard combinatorial problems.

    Original languageEnglish
    Title of host publicationICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence
    Pages99-106
    Number of pages8
    DOIs
    Publication statusPublished - 2009
    Event21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009 - Newark, NJ, United States
    Duration: 2 Nov 20095 Nov 2009

    Publication series

    NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
    ISSN (Print)1082-3409

    Conference

    Conference21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009
    Country/TerritoryUnited States
    CityNewark, NJ
    Period2/11/095/11/09

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