Skip to main navigation Skip to search Skip to main content

A GP-based hyper-heuristic framework for evolving 3-SAT heuristics

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

    Abstract

    We present, GP-HH, a framework for evolving local search 3-SAT heuristics based on GP. Evolved heuristics are compared against well-known SAT solvers with very encouraging results.

    Original languageEnglish
    Title of host publicationGECCO 2007: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation
    PublisherAssociation for Computing Machinery
    Pages1749
    Number of pages1
    ISBN (Print)1595936971, 9781595936974
    DOIs
    Publication statusPublished - 7 Jul 2007
    Event9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, United Kingdom
    Duration: 7 Jul 2007 → 11 Jul 2007

    Publication series

    NameProceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

    Conference

    Conference9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
    Country/TerritoryUnited Kingdom
    CityLondon
    Period7/07/07 → 11/07/07

    Keywords

    • Genetic programming
    • Heuristics
    • Hyper-heuristic
    • SAT

    Fingerprint

    Dive into the research topics of 'A GP-based hyper-heuristic framework for evolving 3-SAT heuristics'. Together they form a unique fingerprint.

    Cite this