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PRICAI
1998
Springer
14 years 3 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar
JUCS
2006
97views more  JUCS 2006»
13 years 11 months ago
An Interval Constraint Branching Scheme for Lattice Domains
This paper presents a parameterized schema for interval constraint branching that (with suitable instantiations of the parameters) can solve interval constraint satisfaction probl...
Antonio J. Fernández, Patricia M. Hill
CP
2007
Springer
14 years 5 months ago
Reformulating CSPs for Scalability with Application to Geospatial Reasoning
While many real-world combinatorial problems can be advantageously modeled and solved using Constraint Programming, scalability remains a major issue in practice. Constraint models...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
AAAI
2006
14 years 10 days ago
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
Robert T. Effinger, Brian C. Williams
WLP
2004
Springer
14 years 4 months ago
Effective Modeling with Constraints
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...
Roman Barták