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DIGITAL.CSIC
Article . 2016 . Peer-reviewed
Data sources: DIGITAL.CSIC
DBLP
Article . 2020
Data sources: DBLP
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Efficient Encodings from CSP into SAT, and from MaxCSP into MaxSAT

Authors: Argelich, Josep; Cabiscol, Alba; Lynce, Ines; Manyà, Felip;

Efficient Encodings from CSP into SAT, and from MaxCSP into MaxSAT

Abstract

We first survey existing encondings from CSP intoSAT, and define two new encodings: the minimal support encoding and the interval-based support encoding. Then, we study how the existing and new encodings from CSP into SAT can be extended for encoding MaxCSP into Partial MaxSAT. Finally, we report on the empirical investigation. The obtained results provide empirical evidence of the good performance profile of the new encodings on SAT solvers such as MiniSat and PrecoSAT that incorporate conflict-clause learning, as well as when they are used to encode MaxCSP into Partial MaxSAT and are solved with MaxSAT solvers such as MSUnCore, SAT4J-Maxsat and WMaxSatz. © 2012 Old City Publishing, Inc.

Peer Reviewed

Country
Spain
Related Organizations
Keywords

MaxSAT, CSP, Encoding, SAT, Encodings, MaxCSP

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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