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Core-Guided and Core-Boosted Search for CP

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Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12296))

Abstract

Core-guided search has proven to be the state-of-the-art in finding optimal solutions for maximum Boolean satisfiability and these techniques have recently been successfully imported in constraint programming. While effective on a wide range of problems, the methods are direct translations of their propositional logic counterparts. We propose two reformulation techniques that take advantage of the rich formalism offered by constraint programming rather than relying on propositional logic strategies, and generalise two existing techniques to improve core-extraction and the overall performance. Our experiments demonstrate the effectiveness of our approaches over the conventional (core-guided) CP methods, both in terms of proving optimality and quickly computing high-quality solutions.

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Authors and Affiliations

  1. Monash University, Melbourne, Australia

    Graeme Gange & Peter J. Stuckey

  2. HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland

    Jeremias Berg

  3. University of Melbourne, Melbourne, Australia

    Emir Demirović

Authors
  1. Graeme Gange
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  2. Jeremias Berg
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  3. Emir Demirović
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  4. Peter J. Stuckey
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Corresponding author

Correspondence to Graeme Gange .

Editor information

Editors and Affiliations

  1. LAAS - CNRS, Toulouse, France

    Emmanuel Hebrard

  2. TU Wien, Vienna, Wien, Austria

    Nysret Musliu

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Gange, G., Berg, J., Demirović, E., Stuckey, P.J. (2020). Core-Guided and Core-Boosted Search for CP. In: Hebrard, E., Musliu, N. (eds) Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR 2020. Lecture Notes in Computer Science(), vol 12296. Springer, Cham. https://doi.org/10.1007/978-3-030-58942-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-58942-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58941-7

  • Online ISBN: 978-3-030-58942-4

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