NDLI: Regular Encodings from Max-CSP into Partial Max-SAT

Content Provider	IEEE Xplore Digital Library
Author	Argelich, J. Cabiscol, A. Lynce, I. Manya, F.
Copyright Year	2009
Abstract	We define a number of original encodings, called regular encodings, that map Max-CSP instances into Partial Max-SAT instances. First, we obtain new direct and (minimal)support encodings by modelling the at-least-one and at-most-one conditions using a regular signed encoding. This way, we obtain encodings in which the hard part is more compact. Second, even when we need to introduce auxiliary variables in the regular encodings, we prove that it is sufficient to limit branching to non-auxiliary variables. Third, we report on an experimental investigation which provides evidence that the minimal support encoding is well-suited on more structured, realistic instances (the experiments performed so far were limited to randomly generated binary CSPs), and that the regular encodings defined here have a very competitive performance profile when branching is limited to non-auxiliary variables. We show that regular encodings allow to solve more instances and more efficiently than using the existing encodings from Max-CSP into Partial Max-SAT.
Starting Page	196
Ending Page	202
File Size	181195
Page Count	7
File Format	PDF
ISBN	9781424438419
ISSN	0195623X
DOI	10.1109/ISMVL.2009.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-21
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Logic Performance analysis Marine vehicles Partial Max-SAT Encodings Max-CSP
Content Type	Text
Resource Type	Article
Subject	Mathematics Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Encoding Max-CSP into Partial Max-SAT

Sequential encodings from max-csp into partial max-sat ⋆.

New Insights into Encodings from MaxCSP into Partial MaxSAT

Modelling max-csp as partial max-sat (2008).

Application of Hierarchical Hybrid Encodings to Efficient Translation of CSPs to SAT

Encoding Max-CSP into Partial

MeSAT: multiple encodings of CSP to SAT

Linear-programming design and analysis of fast algorithms for Max 2-Sat and Max 2-CSP

A Complete Resolution Calculus for Signed Max-SAT

Regular Encodings from Max-CSP into Partial Max-SAT

Similar Documents

Encoding Max-CSP into Partial Max-SAT

Sequential encodings from max-csp into partial max-sat ⋆.

New Insights into Encodings from MaxCSP into Partial MaxSAT

Modelling max-csp as partial max-sat (2008).

Application of Hierarchical Hybrid Encodings to Efficient Translation of CSPs to SAT

Encoding Max-CSP into Partial

MeSAT: multiple encodings of CSP to SAT

Linear-programming design and analysis of fast algorithms for Max 2-Sat and Max 2-CSP

A Complete Resolution Calculus for Signed Max-SAT

Regular Encodings from Max-CSP into Partial Max-SAT