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arxiv: 1604.06641 · v1 · pith:PCV6OX56new · submitted 2016-04-22 · 💻 cs.AI

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

classification 💻 cs.AI
keywords tablealgorithmbeenbit-setcompact-tableconstraintsoperationsoscar
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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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