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» : Compiling problem specifications into SAT
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SAC
2006
ACM
13 years 5 months ago
Challenges in the compilation of a domain specific language for dynamic programming
Many combinatorial optimization problems in biosequence analysis are solved via dynamic programming. To increase programming productivity and program reliability, a domain specifi...
Robert Giegerich, Peter Steffen
AIPS
2006
13 years 6 months ago
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
Jörg Hoffmann, Carla P. Gomes, Bart Selman
CSCLP
2004
Springer
13 years 10 months ago
Automatically Exploiting Symmetries in Constraint Programming
We introduce a framework for studying and solving a class of CSP formulations. The framework allows constraints to be expressed as linear and nonlinear equations, then compiles th...
Arathi Ramani, Igor L. Markov
AAAI
2004
13 years 6 months ago
SAT-Based Answer Set Programming
The relation between answer set programming (ASP) and propositional satisfiability (SAT) is at the center of many research papers, partly because of the tremendous performance boo...
Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
JSAT
2010
132views more  JSAT 2010»
13 years 6 days ago
The Impact of Max-SAT Resolution-Based Preprocessors on Local Search Solvers
In this paper we analyze three well-known preprocessors for Max-SAT. The first preprocessor is based on the so-called variable saturation. The second preprocessor is based on the ...
Federico Heras, David Bañeres