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AAAI
1994
15 years 8 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
SARA
2009
Springer
16 years 1 months ago
Efficient SAT Techniques for Absolute Encoding of Permutation Problems: Application to Hamiltonian Cycles
We study novel approaches for solving of hard combinatorial problems by translation to Boolean Satisfiability (SAT). Our focus is on combinatorial problems that can be represented...
Miroslav N. Velev, Ping Gao 0002
INFOCOM
2008
IEEE
16 years 1 months ago
Multicast Tree Diameter for Dynamic Distributed Interactive Applications
Abstract—Latency reduction in distributed interactive applications has been studied intensively. Such applications may have stringent latency requirements and dynamic user groups...
Knut-Helge Vik, Pål Halvorsen, Carsten Griwo...
ICGI
2004
Springer
15 years 12 months ago
Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA
State Merging algorithms, such as Rodney Price’s EDSM (Evidence-Driven State Merging) algorithm, have been reasonably successful at solving DFA-learning problems. EDSM, however, ...
John Abela, François Coste, Sandro Spina
CP
2006
Springer
15 years 10 months ago
Retroactive Ordering for Dynamic Backtracking
Dynamic Backtracking (DBT) is a well known algorithm for solving Constraint Satisfaction Problems. In DBT, variables are allowed to keep their assignment during backjump, if they a...
Roie Zivan, Uri Shapen, Moshe Zazone, Amnon Meisel...