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CP
2000
Springer
13 years 9 months ago
Using Randomization and Learning to Solve Hard Real-World Instances of Satisfiability
This paper addresses the interaction between randomization, with restart strategies, and learning, an often crucial technique for proving unsatisfiability. We use instances of SAT ...
Luís Baptista, João P. Marques Silva
IJCAI
2003
13 years 6 months ago
Backbone Guided Local Search for Maximum Satisfiability
Maximum satisfiability (Max-SAT) is more general and more difficult to solve than satisfiability (SAT). In this paper, we first investigate the effectiveness of Walksat, one of th...
Weixiong Zhang, Ananda Rangan, Moshe Looks
KI
1999
Springer
13 years 9 months ago
Systematic vs. Local Search for SAT
Abstract. Due to its prominence in artificial intelligence and theoretical computer science, the propositional satisfiability problem (SAT) has received considerable attention in...
Holger H. Hoos, Thomas Stützle
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
AAAI
1997
13 years 6 months ago
Variable-Selection Heuristics in Local Search for SAT
One of the important components of a local search strategy for satisfiability testing is the variable selection heuristic, which determines the next variable to be flipped. In a...
Alex S. Fukunaga