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The SeqBin Constraint Revisited (1207.1811v1)

Published 7 Jul 2012 in cs.AI

Abstract: We revisit the SeqBin constraint. This meta-constraint subsumes a number of important global constraints like Change, Smooth and IncreasingNValue. We show that the previously proposed filtering algorithm for SeqBin has two drawbacks even under strong restrictions: it does not detect bounds disentailment and it is not idempotent. We identify the cause for these problems, and propose a new propagator that overcomes both issues. Our algorithm is based on a connection to the problem of finding a path of a given cost in a restricted $n$-partite graph. Our propagator enforces domain consistency in O(nd2) and, for special cases of SeqBin that include Change, Smooth and IncreasingNValue, in O(nd) time.

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