Conference Proceedings

Maintaining State in Propagation Solvers

RM Reischuk, C Schulte, PJ Stuckey, G Tack

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Springer | Published : 2009

Abstract

Constraint propagation solvers interleave propagation, removing impossible values from variable domains, with search. The solver state is modified during propagation. But search requires the solver to return to a previous state. Hence a propagation solver must determine how to maintain state during propagation and forward and backward search. This paper sets out the possible ways in which a propagation solver can choose to maintain state, and the restrictions that such choices place on the resulting system. Experiments illustrate the result of various choices for the three principle state components of a solver: variables, propagators, and dependencies between them. This paper also provides ..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

We thank Thibaut Feydy and Sebastian Brand for many interesting discussions related to this work. Raphael Reischuk and Guido Tack were supported by the Saarbrucken Graduate School of Computer Science which receives funding from the DFG as part of the Excellence Initiative of the German Federal and State Governments. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council.