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» Present and Future of Practical SAT Solving
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SAT
2009
Springer
103views Hardware» more  SAT 2009»
13 years 10 months ago
Instance-Based Selection of Policies for SAT Solvers
Execution of most of the modern DPLL-based SAT solvers is guided by a number of heuristics. Decisions made during the search process are usually driven by some fixed heuristic pol...
Mladen Nikolic, Filip Maric, Predrag Janicic
AI
2003
Springer
13 years 10 months ago
Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT
Abstract. In this paper, we study the behaviour of the Scaling and Probabilistic Smoothing (SAPS) dynamic local search algorithm on the unweighted MAXSAT problem. MAX-SAT is a conc...
Dave A. D. Tompkins, Holger H. Hoos
JAR
2000
149views more  JAR 2000»
13 years 5 months ago
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems
In this paper, we show how Guided Local Search (GLS) can be applied to the SAT problem and show how the resulting algorithm can be naturally extended to solve the weighted MAX-SAT ...
Patrick Mills, Edward P. K. Tsang
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