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CORR
2007
Springer

Decomposition During Search for Propagation-Based Constraint Solvers

8 years 3 months ago
Decomposition During Search for Propagation-Based Constraint Solvers
Abstract. We describe decomposition during search (DDS), an integration of And/Or tree search into propagation-based constraint solvers. The presented search algorithm dynamically decomposes sub-problems of a constraint satisfaction problem into independent partial problems, avoiding redundant work. The paper discusses how DDS interacts with key features that make propagation-based solvers successful: constraint propagation, especially for global constraints, and dynamic search heuristics. We have implemented DDS for the Gecode constraint programming library. Two applications, solution counting in graph coloring and protein structure prediction, exemplify the benefits of DDS in practice.
Martin Mann, Guido Tack, Sebastian Will
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CORR
Authors Martin Mann, Guido Tack, Sebastian Will
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