posted on 2013-01-02, 14:25authored byFederico Heras, Antonio Morgado, Joao Marques-Silva
Weighted Partial MaxSAT (WPMS) is a well-known optimization
variant of Boolean Satisfiability (SAT) that finds a wide range
of practical applications.WPMS divides the formula in two sets of clauses:
The hard clauses that must be satisfied and the soft clauses that can
be unsatisfied with a penalty given by their associated weight. However,
some applications may require each constraint to be modeled as a
set or group of clauses. The resulting formalism is referred to as Group
MaxSAT. This paper overviews Group MaxSAT, and shows how several
optimization problems can be modeled as Group MaxSAT. Several en-
codings from Group MaxSAT to standard MaxSAT are formalized and
refined. A comprehensive empirical study compares the performance of
several MaxSAT solvers with the proposed encodings. The results indicate
that, depending on the underlying MaxSAT solver and problem
domain, the solver may perform better with a given encoding than with
the others.
History
Publication
The 25th Canadian Conference on Artificial Intelligence (AI2012). Lecture Notes in Computer Science;7310, pp. 85-96
Publisher
Springer
Note
peer-reviewed
Other Funding information
SFI
Rights
The original publication is available at www.springerlink.com