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期刊名:Constraints

缩写:CONSTRAINTS

ISSN:1383-7133

e-ISSN:1572-9354

IF/分区:1.3/Q3

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共收录本刊相关文章索引7
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Tom Marty,Léo Boisvert,Tristan François et al. Tom Marty et al.
Constraint programming is known for being an efficient approach to solving combinatorial problems. Important design choices in a solver are the branching heuristics, designed to lead the search to the best solutions in a minimum amount of t...
Maxime Mulamba,Jayanta Mandi,Ali İrfan Mahmutoğulları et al. Maxime Mulamba et al.
We consider the problem of perception-based constraint solving, where part of the problem specification is provided indirectly through an image provided by a user. As a pedagogical example, we use the complete image of a Sudoku grid. While ...
Ágnes Cseh,Guillaume Escamocher,Luis Quesada Ágnes Cseh
Constraint programming has proven to be a successful framework for determining whether a given instance of the three-dimensional stable matching problem with cyclic preferences (3dsm-cyc) admits a solution. If such an instance is satisfiabl...
Georg Gottlob,Cem Okulmus,Reinhard Pichler Georg Gottlob
Constraint Satisfaction Problems (CSP) are notoriously hard. Consequently, powerful decomposition methods have been developed to overcome this complexity. However, this poses the challenge of actually computing such a decomposition for a gi...
Ágnes Cseh,Guillaume Escamocher,Begüm Genç et al. Ágnes Cseh et al.
We introduce five constraint models for the 3-dimensional stable matching problem with cyclic preferences and study their relative performances under diverse configurations. While several constraint models have been proposed for variants of...
David F Manlove,Iain McBride,James Trimble David F Manlove
The Hospitals / Residents problem with Couples (hrc) models the allocation of intending junior doctors to hospitals where couples are allowed to submit joint preference lists over pairs of (typically geographically close) hospitals. It is k...
R Marinescu,R Dechter R Marinescu
AND/OR search spaces accommodate advanced algorithmic schemes for graphical models which can exploit the structure of the model. We extend and evaluate the depth-first and best-first AND/OR search algorithms to solving 0-1 Integer Linear Pr...