G-2008-02
Using Local Search to Speed Up Filtering Algorithms for Some NP-Hard Constraints
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This paper proposes to use local search inside filtering algorithms of combinatorial structures for which achieving a desired level of consistency is too computationally expensive. Local search quickly provides supports for many variable-value pairs, thus reducing the effort required to check and potentially filter the rest of them. The idea is demonstrated on the SomeDifferent constraint, a graph coloring substructure. An experimental evaluation confirms its significant computational gain in many cases.
Published January 2008 , 18 pages
Research Axis
Publications
Jan 2011
Using local search to speed up filtering algorithms for some NP-Hard constraints
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Annals of Operations Research, 184(1), 121–135, 2011
BibTeX reference
Jan 2008
Using local search to speed up filtering algorithms for some NP-hard constraints
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Springer Berlin / Heidelberg, Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, Lecture Notes in Computer Science, 5015, 298–302, 2008
BibTeX reference