Compiling finite domain constraints to SAT with BEE*

Amit Metodi, Michael Codish

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Abstract We present BEE, a compiler which enables to encode finite domain constraint problems to CNF. Using BEE both eases the encoding process for the user and also performs transformations to simplify constraints and optimize their encoding to CNF. These optimizations are based primarily on equi-propagation and on partial evaluation, and also on the idea that a given constraint may have various possible CNF encodings. Often, the better encoding choice is made after constraint simplification. BEE is written in Prolog and integrates directly with a SAT solver through a suitable Prolog interface. We demonstrate that constraint simplification is often highly beneficial when solving hard finite domain constraint problems. A BEE implementation is available with this paper.

Original languageEnglish
Pages (from-to)465-483
Number of pages19
JournalTheory and Practice of Logic Programming
Volume12
Issue number4-5
DOIs
StatePublished - 1 Jul 2012

Keywords

  • FD constraints
  • SAT encoding
  • equi-propagation
  • partial evaluation

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics
  • Artificial Intelligence

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