{"id":"https://openalex.org/W4406612186","doi":"https://doi.org/10.1109/wsc63780.2024.10838738","title":"Solving Mixed Integer Linear Programs by Monte Carlo Tree Search","display_name":"Solving Mixed Integer Linear Programs by Monte Carlo Tree Search","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612186","doi":"https://doi.org/10.1109/wsc63780.2024.10838738"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","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/A5005232556","display_name":"Gongbo Zhang","orcid":"https://orcid.org/0009-0001-0077-3615"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gongbo Zhang","raw_affiliation_strings":["PKU-Wuhan Institute for Artificial Intelligence, Peking University,Wuhan,CHINA"],"affiliations":[{"raw_affiliation_string":"PKU-Wuhan Institute for Artificial Intelligence, Peking University,Wuhan,CHINA","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005503619","display_name":"Yijie Peng","orcid":"https://orcid.org/0000-0003-2584-8131"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Peng","raw_affiliation_strings":["PKU-Wuhan Institute for Artificial Intelligence, Peking University,Wuhan,CHINA"],"affiliations":[{"raw_affiliation_string":"PKU-Wuhan Institute for Artificial Intelligence, Peking University,Wuhan,CHINA","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005232556"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30178954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3380","last_page":"3391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.890999972820282,"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":0.890999972820282,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.7860999703407288,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.7627999782562256,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6404911279678345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62272709608078},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.574776828289032},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5100756287574768},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.48617714643478394},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48150262236595154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41493913531303406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3819899260997772},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35003507137298584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26662272214889526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18160480260849},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15795516967773438},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09023576974868774}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6404911279678345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62272709608078},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.574776828289032},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5100756287574768},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.48617714643478394},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48150262236595154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41493913531303406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3819899260997772},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35003507137298584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26662272214889526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18160480260849},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15795516967773438},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09023576974868774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2681648706","display_name":null,"funder_award_id":"72325007,72250065,720220011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W132403231","https://openalex.org/W1498636114","https://openalex.org/W1625390266","https://openalex.org/W1999049191","https://openalex.org/W2014328192","https://openalex.org/W2033735555","https://openalex.org/W2060514920","https://openalex.org/W2101101673","https://openalex.org/W2111175290","https://openalex.org/W2157054705","https://openalex.org/W2766447205","https://openalex.org/W2963653944","https://openalex.org/W3041250077","https://openalex.org/W3170112077","https://openalex.org/W3206580908","https://openalex.org/W4240374930","https://openalex.org/W4252019227","https://openalex.org/W4282966575","https://openalex.org/W4285796263","https://openalex.org/W4317792929","https://openalex.org/W4385301560","https://openalex.org/W4386031878","https://openalex.org/W4388561877"],"related_works":["https://openalex.org/W2571592646","https://openalex.org/W4247855592","https://openalex.org/W2740304877","https://openalex.org/W2978000411","https://openalex.org/W4226164546","https://openalex.org/W2766259847","https://openalex.org/W2047683846","https://openalex.org/W2044902158","https://openalex.org/W2109912052","https://openalex.org/W1711527768"],"abstract_inverted_index":{"Mixed":[0],"Integer":[1],"Linear":[2],"Programs":[3],"(MILPs)":[4],"are":[5],"powerful":[6],"tools":[7],"for":[8,74,83,98],"modeling":[9],"and":[10,25,28,95],"solving":[11,99],"combinatorial":[12],"optimization":[13,96],"problems.":[14],"Solving":[15],"an":[16,75],"MILP":[17],"is":[18,32],"NP-hard":[19],"due":[20],"to":[21,52,65],"the":[22,26,44,54,57,68,79,93,104,108],"integrality":[23],"requirement,":[24],"branch":[27],"bound":[29],"(B&B)":[30],"algorithm":[31],"a":[33,87],"widely":[34],"used":[35],"exact":[36],"solution":[37,70],"method.":[38,110],"In":[39],"this":[40],"work,":[41],"we":[42],"explore":[43],"use":[45],"of":[46,60,107],"Monte":[47],"Carlo":[48],"Tree":[49],"Search":[50],"(MCTS)":[51],"guide":[53],"search":[55],"within":[56],"space":[58],"composed":[59],"branching":[61],"candidate":[62],"variables,":[63],"aiming":[64],"efficiently":[66],"find":[67],"optimal":[69],"(if":[71],"it":[72],"exists)":[73],"MILP.":[76],"We":[77],"adapt":[78],"Asymptotically":[80],"Optimal":[81],"Allocation":[82],"Trees":[84],"(AOAT)":[85],"algorithm,":[86],"recently":[88],"proposed":[89,109],"MCTS":[90],"approach":[91],"in":[92],"simulation":[94],"field,":[97],"MILPs.":[100],"Numerical":[101],"results":[102],"demonstrate":[103],"potential":[105],"benefits":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
