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IRI
2006
IEEE
15 years 12 months ago
A new heuristic-based albeit complete method to extract MUCs from unsatisfiable CSPs
When a Constraint Satisfaction Problem (CSP) admits no solution, most current solvers express that the whole search space has been explored unsuccessfully but do not exhibit which...
Éric Grégoire, Bertrand Mazure, C&ea...
CP
2003
Springer
15 years 11 months ago
Improved Algorithms for Max-restricted Path Consistency
A binary constraints network consists of a set of n variables, defined on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...
Fabrizio Grandoni, Giuseppe F. Italiano
CP
2005
Springer
15 years 11 months ago
Bounds-Consistent Local Search
This paper describes a hybrid approach to solving large-scale constraint satisfaction and optimization problems. It describes a hybrid algorithm for integer linear programming whic...
Stefania Verachi, Steven David Prestwich
SARA
2009
Springer
16 years 14 days ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
FLAIRS
2003
15 years 7 months ago
A Graph Based Synthesis Algorithm for Solving CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to a set of constraints. While solving a CSP is an ...
Wanlin Pang, Scott D. Goodwin