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» Fast SDP Algorithms for Constraint Satisfaction Problems
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FLAIRS
2007
13 years 10 months ago
Search Ordering Heuristics for Restarts-Based Constraint Solving
Constraint Satisfaction Problems are ubiquitous in Artificial Intelligence. Over the past decade significant advances have been made in terms of the size of problem instance tha...
Margarita Razgon, Barry O'Sullivan, Gregory M. Pro...
SBACPAD
2003
IEEE
125views Hardware» more  SBACPAD 2003»
14 years 27 days ago
Applying Scheduling by Edge Reversal to Constraint Partitioning
— Scheduling by Edge Reversal (SER) is a fully distributed scheduling mechanism based on the manipulation of acyclic orientations of a graph. This work uses SER to perform constr...
Marluce Rodrigues Pereira, Patrícia Kayser ...
PPSN
1998
Springer
13 years 12 months ago
Methods to Evolve Legal Phenotypes
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
Tina Yu, Peter J. Bentley
ECSQARU
2009
Springer
13 years 5 months ago
Soft Constraints Processing over Divisible Residuated Lattices
We claim that divisible residuated lattices (DRLs) can act as a unifying evaluation framework for soft constraint satisfaction problems (soft CSPs). DRLs form the algebraic semanti...
Simone Bova
AI
2003
Springer
14 years 26 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin