{"id":"https://openalex.org/W199082658","doi":"https://doi.org/10.3233/978-1-58603-891-5-500","title":"A Decomposition Technique for Max-CSP","display_name":"A Decomposition Technique for Max-CSP","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W199082658","doi":"https://doi.org/10.3233/978-1-58603-891-5-500","mag":"199082658"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-58603-891-5-500","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-500","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032043599","display_name":"Hach\u00e9mi Bennaceur","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bennaceur Hach&eacute;mi","raw_affiliation_strings":["Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-bennaceur@cril.univ-artois.fr#TAB#"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-bennaceur@cril.univ-artois.fr#TAB#","institution_ids":["https://openalex.org/I44563897","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056232610","display_name":"Christophe Lecoutre","orcid":"https://orcid.org/0000-0002-2205-6545"},"institutions":[{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lecoutre Christophe","raw_affiliation_strings":["Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-lecoutre@cril.univ-artois.fr#TAB#"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-lecoutre@cril.univ-artois.fr#TAB#","institution_ids":["https://openalex.org/I44563897","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008076909","display_name":"Olivier Roussel","orcid":"https://orcid.org/0000-0002-9394-3897"},"institutions":[{"id":"https://openalex.org/I59807433","display_name":"Universit\u00e9 Lille Nord de France","ror":"https://ror.org/03btvgn05","country_code":"FR","type":"education","lineage":["https://openalex.org/I59807433"]},{"id":"https://openalex.org/I44563897","display_name":"Universit\u00e9 d'Artois","ror":"https://ror.org/053x9s498","country_code":"FR","type":"education","lineage":["https://openalex.org/I44563897"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roussel Olivier","raw_affiliation_strings":["Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-roussel@cril.univ-artois.fr#TAB#"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lille-Nord de France, Artois, F-62307 Lens-CRIL, F-62307 Lens-CNRS UMR 8188, F-62307 Lens-IUT de Lens-roussel@cril.univ-artois.fr#TAB#","institution_ids":["https://openalex.org/I44563897","https://openalex.org/I59807433","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032043599"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I44563897"],"apc_list":null,"apc_paid":null,"fwci":0.4697,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61789549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6502022743225098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41392266750335693},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.19441261887550354},{"id":"https://openalex.org/keywords/organic-chemistry","display_name":"Organic chemistry","score":0.04908311367034912}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6502022743225098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41392266750335693},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.19441261887550354},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.04908311367034912}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-58603-891-5-500","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-58603-891-5-500","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.175.6798","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.6798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cril.univ-artois.fr/%7Elecoutre/research/publications/2008/ECAI2008Dec.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.398.8331","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.8331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/86/52/85/PDF/ECAI2008Dec.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W7070610","https://openalex.org/W32927025","https://openalex.org/W46786713","https://openalex.org/W46911244","https://openalex.org/W95643803","https://openalex.org/W103975088","https://openalex.org/W198893173","https://openalex.org/W1521034429","https://openalex.org/W2076921757","https://openalex.org/W2084041193","https://openalex.org/W2097766344","https://openalex.org/W2138319640","https://openalex.org/W2569549435","https://openalex.org/W2604854229"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,70,153],"objective":[1],"of":[2,18,32,56,66,86,127,156],"the":[3,16,30,49,67,76,79,84,112,125,128,150],"Maximal":[4],"Constraint":[5],"Satisfaction":[6],"Problem":[7],"(Max-CSP)":[8],"is":[9,45,72,133,159],"to":[10,47,61,73,90,110,148],"find":[11],"an":[12,165],"instantiation":[13],"which":[14,102],"minimizes":[15],"number":[17],"constraint":[19,23,129],"violations":[20],"in":[21,59,83,108],"a":[22,57,87,99,169],"network.":[24],"In":[25],"this":[26,94,119,162],"paper,":[27],"inspired":[28],"from":[29,75],"concept":[31],"inferred":[33],"disjunctive":[34],"constraints":[35,142],"introduced":[36],"by":[37],"Freuder":[38],"and":[39,172],"Hubbe,":[40],"we":[41,96,137],"show":[42],"that":[43,143],"it":[44,132],"possible":[46],"exploit":[48],"arc-inconsistency":[50],"counts,":[51],"associated":[52],"with":[53,164],"each":[54],"value":[55],"network,":[58],"order":[60,109],"avoid":[62],"exploring":[63],"useless":[64],"portions":[65],"search":[68,107,151],"space.":[69,152],"principle":[71],"reason":[74],"distance":[77],"between":[78],"two":[80],"best":[81],"values":[82],"domain":[85],"variable,":[88],"according":[89],"such":[91],"counts.":[92],"From":[93],"reasoning,":[95],"can":[97,103,138,144],"build":[98],"decomposition":[100],"technique":[101],"be":[104,145],"used":[105,146],"throughout":[106],"decompose":[111],"current":[113],"problem":[114],"into":[115],"easier":[116],"sub-problems.":[117],"Interestingly,":[118],"approach":[120,158],"does":[121],"not":[122],"depend":[123],"on":[124,168],"structure":[126],"graph,":[130],"as":[131],"usually":[134],"proposed.":[135],"Alternatively,":[136],"dynamically":[139],"post":[140],"hard":[141],"locally":[147],"prune":[149],"practical":[154],"interest":[155],"our":[157],"illustrated,":[160],"using":[161],"alternative,":[163],"experimentation":[166],"based":[167],"classical":[170],"branch":[171],"bound":[173],"algorithm,":[174],"namely":[175],"PFC-MRDAC.":[176]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
