Lookahead saturation with restriction for SAT

Anbulagan*, John Slaney

*Corresponding author for this work

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

    6 Citations (Scopus)

    Abstract

    We present; a new and more efficient heuristic by restricting lookahead saturation (LAS) with NVO (neighbourhood variable ordering) and DEW (dynamic equality weighting). We report on the integration of this heuristic in Satz, a high-performance SAT solver, showing empirically that it significantly improves the performance on an extensive range of benchmark problems that exhibit, hard structure.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages727-731
    Number of pages5
    DOIs
    Publication statusPublished - 2005
    Event11th International Conference on Principles and Practice of Constraint Programming - CP 2005 - Sitges, Spain
    Duration: 1 Oct 20055 Oct 2005

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3709 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference11th International Conference on Principles and Practice of Constraint Programming - CP 2005
    Country/TerritorySpain
    CitySitges
    Period1/10/055/10/05

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