Compact-Table: Efficiently Filtering Table Constraints with Reversible Sparse Bit-Sets

April 22, 2016 Β· Declared Dead Β· πŸ› International Conference on Principles and Practice of Constraint Programming

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Authors Jordan Demeulenaere, Renaud Hartert, Christophe Lecoutre, Guillaume Perez, Laurent Perron, Jean-Charles RΓ©gin, Pierre Schaus arXiv ID 1604.06641 Category cs.AI: Artificial Intelligence Citations 64 Venue International Conference on Principles and Practice of Constraint Programming Last Checked 3 months ago
Abstract
In this paper, we describe Compact-Table (CT), a bitwise algorithm to enforce Generalized Arc Consistency (GAC) on table con- straints. Although this algorithm is the default propagator for table constraints in or-tools and OscaR, two publicly available CP solvers, it has never been described so far. Importantly, CT has been recently improved further with the introduction of residues, resetting operations and a data-structure called reversible sparse bit-set, used to maintain tables of supports (following the idea of tabular reduction): tuples are invalidated incrementally on value removals by means of bit-set operations. The experimentation that we have conducted with OscaR shows that CT outperforms state-of-the-art algorithms STR2, STR3, GAC4R, MDD4R and AC5-TC on standard benchmarks.
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