{"id":"https://openalex.org/W4414359969","doi":"https://doi.org/10.24963/ijcai.2025/295","title":"An Efficient Core-Guided Solver for Weighted Partial MaxSAT","display_name":"An Efficient Core-Guided Solver for Weighted Partial MaxSAT","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359969","doi":"https://doi.org/10.24963/ijcai.2025/295"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/295","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5077052175","display_name":"Shiwei Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiwei Pan","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046212640","display_name":"Yiyuan Wang","orcid":"https://orcid.org/0000-0002-3071-3461"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyuan Wang","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077138780","display_name":"Shaowei Cai","orcid":"https://orcid.org/0000-0003-1730-6922"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Cai","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077052175"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33770613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2647","last_page":"2656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.925599992275238,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9090999960899353,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-satisfiability-problem","display_name":"Maximum satisfiability problem","score":0.9498000144958496},{"id":"https://openalex.org/keywords/boolean-satisfiability-problem","display_name":"Boolean satisfiability problem","score":0.7335000038146973},{"id":"https://openalex.org/keywords/satisfiability","display_name":"Satisfiability","score":0.7236999869346619},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.7078999876976013},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6413000226020813},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4106999933719635}],"concepts":[{"id":"https://openalex.org/C111797529","wikidata":"https://www.wikidata.org/wiki/Q17080584","display_name":"Maximum satisfiability problem","level":3,"score":0.9498000144958496},{"id":"https://openalex.org/C6943359","wikidata":"https://www.wikidata.org/wiki/Q875276","display_name":"Boolean satisfiability problem","level":2,"score":0.7335000038146973},{"id":"https://openalex.org/C168773769","wikidata":"https://www.wikidata.org/wiki/Q1350299","display_name":"Satisfiability","level":2,"score":0.7236999869346619},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7078999876976013},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6413000226020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.545799970626831},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45249998569488525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37700000405311584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36340001225471497},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34130001068115234},{"id":"https://openalex.org/C16221470","wikidata":"https://www.wikidata.org/wiki/Q846564","display_name":"Conjunctive normal form","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C143936061","wikidata":"https://www.wikidata.org/wiki/Q2030088","display_name":"DPLL algorithm","level":4,"score":0.3156000077724457},{"id":"https://openalex.org/C164155591","wikidata":"https://www.wikidata.org/wiki/Q2067766","display_name":"Satisfiability modulo theories","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C74640108","wikidata":"https://www.wikidata.org/wiki/Q1372900","display_name":"Propositional formula","level":5,"score":0.26919999718666077},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/295","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,32],"maximum":[1],"satisfiability":[2],"problem":[3,10],"(MaxSAT)":[4],"is":[5,38],"a":[6,77],"crucial":[7],"combinatorial":[8],"optimization":[9],"with":[11,60,124],"widespread":[12],"applications":[13],"across":[14,130],"various":[15],"critical":[16],"domains.":[17],"This":[18],"paper":[19],"presents":[20],"CASHWMaxSAT,":[21],"an":[22,42],"efficient":[23],"core-guided":[24],"MaxSAT":[25,86,112,128,150],"solver":[26,70,87],"based":[27],"on":[28,49,103],"two":[29,141],"novel":[30],"ideas.":[31],"first":[33],"and":[34,93],"most":[35],"important":[36],"idea":[37],"the":[39,61,65,69,106,111,117,139,144,149],"introduction":[40],"of":[41,63,110,148],"extended":[43],"stratification":[44],"technique":[45],"that":[46,116],"progressively":[47],"focuses":[48],"solving":[50,99],"high-weight":[51],"soft":[52],"clauses.":[53],"Second,":[54],"we":[55],"integrate":[56],"disjoint":[57],"unsatisfiable":[58,66],"cores":[59],"goal":[62],"minimizing":[64],"core,":[67],"allowing":[68],"to":[71,88,121,137],"learn":[72],"multiple":[73],"high-quality":[74],"clauses":[75],"in":[76,143],"single":[78],"conflict":[79],"analysis":[80],"step.":[81],"These":[82],"innovations":[83],"enable":[84],"our":[85],"efficiently":[89],"identify":[90],"key":[91],"constraints":[92],"reduce":[94],"redundant":[95],"reasoning,":[96],"significantly":[97],"enhancing":[98],"efficiency.":[100],"Experimental":[101],"results":[102],"benchmarks":[104],"from":[105],"complete":[107],"weighted":[108,146],"track":[109],"Evaluations":[113],"2022-2024":[114],"demonstrate":[115],"proposed":[118],"methods":[119],"lead":[120],"substantial":[122],"improvements,":[123],"CASHWMaxSAT":[125],"outperforming":[126],"state-of-the-art":[127],"solvers":[129],"all":[131],"benchmarks.":[132],"Additionally,":[133],"it":[134],"enabled":[135],"us":[136],"achieve":[138],"top":[140],"positions":[142],"exact":[145],"category":[147],"Evaluation":[151],"2024.":[152]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
