Locality in Random SAT Instances
Despite the success of CDCL SAT solvers solving industrial problems, there are still many open questions to explain such success. In this context, the generation of random SAT instances having computational properties more similar to real-world problems becomes crucial. Such generators are possibly...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/164747 |
| Acceso en línea: | http://hdl.handle.net/10261/164747 |
| Access Level: | acceso abierto |
| Palabra clave: | SAT model SAT solvers |
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Locality in Random SAT InstancesGiráldez-Crú, JesúsLevy, JordiSAT modelSAT solversDespite the success of CDCL SAT solvers solving industrial problems, there are still many open questions to explain such success. In this context, the generation of random SAT instances having computational properties more similar to real-world problems becomes crucial. Such generators are possibly the best tool to analyze families of instances and solvers behaviors on them. In this paper, we present a random SAT instances generator based on the notion of locality. We show that this is a decisive dimension of attractiveness among the variables of a formula, and how CDCL SAT solvers take advantage of it. To the best of our knowledge, this is the first random SAT model that generates both scale-free structure and community structure at once.This work was partially supported by the MINECO/FEDER project RASO (TIN2015-71799-C2-1-P), the CSIC project LOGAL (201450E045), and the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013) / ERC grant agreement no. 279611.Peer ReviewedInternational Joint Conferences on Artificial IntelligenceConsejo Superior de Investigaciones Científicas (España)European CommissionMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2018201820172018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/164747reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/FP7/279611; MINECOSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1647472026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Locality in Random SAT Instances |
| title |
Locality in Random SAT Instances |
| spellingShingle |
Locality in Random SAT Instances Giráldez-Crú, Jesús SAT model SAT solvers |
| title_short |
Locality in Random SAT Instances |
| title_full |
Locality in Random SAT Instances |
| title_fullStr |
Locality in Random SAT Instances |
| title_full_unstemmed |
Locality in Random SAT Instances |
| title_sort |
Locality in Random SAT Instances |
| dc.creator.none.fl_str_mv |
Giráldez-Crú, Jesús Levy, Jordi |
| author |
Giráldez-Crú, Jesús |
| author_facet |
Giráldez-Crú, Jesús Levy, Jordi |
| author_role |
author |
| author2 |
Levy, Jordi |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas (España) European Commission Ministerio de Economía y Competitividad (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
SAT model SAT solvers |
| topic |
SAT model SAT solvers |
| description |
Despite the success of CDCL SAT solvers solving industrial problems, there are still many open questions to explain such success. In this context, the generation of random SAT instances having computational properties more similar to real-world problems becomes crucial. Such generators are possibly the best tool to analyze families of instances and solvers behaviors on them. In this paper, we present a random SAT instances generator based on the notion of locality. We show that this is a decisive dimension of attractiveness among the variables of a formula, and how CDCL SAT solvers take advantage of it. To the best of our knowledge, this is the first random SAT model that generates both scale-free structure and community structure at once. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2018 2018 2018 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/164747 |
| url |
http://hdl.handle.net/10261/164747 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/FP7/279611; MINECO Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
International Joint Conferences on Artificial Intelligence |
| publisher.none.fl_str_mv |
International Joint Conferences on Artificial Intelligence |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869409767847362560 |
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15,812429 |