Sweep-based propagation for string constraint solving
R Amadini, G Gange, PJ Stuckey
Proceedings of the 2018 AAAI Conference on Artificial Intelligence | Association for the Advancement of Artificial Intelligence | Published : 2018
Solving constraints over strings is an emerging important field. Recently, a Constraint Programming approach based on dashed strings has been proposed to enable a compact domain representation for potentially large bounded-length string variables. In this paper, we present a more efficient algorithm for propagating equality (and related constraints) over dashed strings. We call this propagation sweep-based. Experimental evidences show that sweep-based propagation is able to significantly outperform state-of-the-art approaches for string constraint solving.
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Awarded by Australian Research Council (ARC)
This work is supported by the Australian Research Council (ARC) through Linkage Project Grant LP140100437 and Discovery Early Career Researcher Award DE160100568.