Sciweavers

10 search results - page 1 / 2
» Learning to Identify Global Bottlenecks in Constraint Satisf...
Sort
View
FLAIRS
2007
13 years 7 months ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace
ICTAI
2006
IEEE
13 years 11 months ago
Finding Crucial Subproblems to Focus Global Search
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
Susan L. Epstein, Richard J. Wallace
CP
2004
Springer
13 years 10 months ago
Leveraging the Learning Power of Examples in Automated Constraint Acquisition
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
Christian Bessière, Remi Coletta, Eugene C....
SAT
2009
Springer
132views Hardware» more  SAT 2009»
13 years 11 months ago
Relaxed DPLL Search for MaxSAT
We propose a new incomplete algorithm for the Maximum Satisfiability (MaxSAT) problem on unweighted Boolean formulas, focused specifically on instances for which proving unsatis...
Lukas Kroc, Ashish Sabharwal, Bart Selman
ECAI
2004
Springer
13 years 10 months ago
Improving Asynchronous Backtracking for Dealing with Complex Local Problems
Distributed constraint satisfaction, in its most general acceptation, involves a collection of agents solving local constraint satisfaction subproblems, and a communication protoco...
Arnold Maestre, Christian Bessière