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Title:
Representative Encodings to Translate Finite CSPs into SAT
Publication date:
May 2014
Citation:
BaHH14
Abstract:
Solving Constraint Satisfaction Problems (CSPs) by Boolean Satisfiability (SAT) requires suitable encodings for translating CSPs to equivalent SAT instances that should not only be effectively generated, but should also be efficiently processed by SAT solvers. In this paper we investigate hierarchical and hybrid encodings, focussing on two specific encodings: the representative-sparse encoding, already proposed albeit not thoroughly tested, and a new representative-order encoding ...
In proceedings
Authors:
Pedro Barahona
, Steffen Hölldobler, Nguyen Van Hau
Editors:
Helmut Simonis
Book title:
Integration of AI and OR Techniques in Constraint Programming
Series:
Lecture Notes in Computer Science
Publisher:
Springer
Address:
-
Volume:
8451
Pages:
251-267
ISBN:
978-3-319-07045-2
ISSN:
-
Note:
DOI: 10.1007/978-3-319-07046-9_18
Url address:
-
Publication files
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Plain text:
Pedro Barahona and Steffen Hölldobler and Nguyen Van Hau, Representative Encodings to Translate Finite CSPs into SAT, in: Helmut Simonis (eds), Integration of AI and OR Techniques in Constraint Programming, Lecture Notes in Computer Science, Springer, Vol. 8451, ISBN 978-3-319-07045-2, Pag. 251-267, DOI: 10.1007/978-3-319-07046-9_18, May 2014.
HTML:
<a href="/people/members/view.php?code=7e27bc13fad97e99cd21ea6914d55659" class="author">Pedro Barahona</a>, Steffen Hölldobler and Nguyen Van Hau, <b>Representative Encodings to Translate Finite CSPs into SAT</b>, in: Helmut Simonis (eds), <u>Integration of AI and OR Techniques in Constraint Programming</u>, Lecture Notes in Computer Science, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Vol. 8451, ISBN 978-3-319-07045-2, Pag. 251-267, <i>DOI: 10.1007/978-3-319-07046-9_18</i>, May 2014.
BibTeX:
@inproceedings {BaHH14, author = {Pedro Barahona and Steffen H\"olldobler and Nguyen Van Hau}, editor = {Helmut Simonis}, title = {Representative Encodings to Translate Finite CSPs into SAT}, booktitle = {Integration of AI and OR Techniques in Constraint Programming}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, volume = {8451}, pages = {251-267}, isbn = {978-3-319-07045-2}, note = {DOI: 10.1007/978-3-319-07046-9_18}, abstract = {Solving Constraint Satisfaction Problems (CSPs) by Boolean Satisfiability (SAT) requires suitable encodings for translating CSPs to equivalent SAT instances that should not only be effectively generated, but should also be efficiently processed by SAT solvers. In this paper we investigate hierarchical and hybrid encodings, focussing on two specific encodings: the representative-sparse encoding, already proposed albeit not thoroughly tested, and a new representative-order encoding ...}, month = {May}, year = {2014}, }
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