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PRICAI
1998
Springer
15 years 4 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»
14 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
15 years 6 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
15 years 1 months 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
15 years 5 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