{"id":"https://openalex.org/W4410088799","doi":"https://doi.org/10.1145/3696410.3714616","title":"Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning","display_name":"Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4410088799","doi":"https://doi.org/10.1145/3696410.3714616"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3696410.3714616","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108518023","display_name":"Peng Zhao","orcid":"https://orcid.org/0009-0005-8910-8847"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053534802","display_name":"You Zhou","orcid":"https://orcid.org/0000-0003-0013-1281"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Zhou","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401420","display_name":"Di Wang","orcid":"https://orcid.org/0000-0002-3171-4001"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021597928","display_name":"Zhiguang Cao","orcid":"https://orcid.org/0000-0002-4499-759X"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiguang Cao","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028361005","display_name":"Yubin Xiao","orcid":"https://orcid.org/0000-0001-6441-9167"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Xiao","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005809163","display_name":"Xuan Wu","orcid":"https://orcid.org/0000-0002-0989-6718"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wu","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035058343","display_name":"Yuanshu Li","orcid":"https://orcid.org/0009-0000-1014-6714"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanshu Li","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025836023","display_name":"Hongjia Liu","orcid":"https://orcid.org/0009-0009-7983-4713"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjia Liu","raw_affiliation_strings":["Jilin University, Chang Chun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Chang Chun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059747977","display_name":"Wei Du","orcid":"https://orcid.org/0000-0001-9872-4821"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["Jilin University, Chang Chun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Chang Chun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102720471","display_name":"Yuan Jiang","orcid":"https://orcid.org/0000-0003-4629-9901"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063363190","display_name":"Liupu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liupu Wang","raw_affiliation_strings":["Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5108518023"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12505141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4089","last_page":"4100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998000264167786,"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/T14011","display_name":"Elevator Systems and Control","score":0.9944999814033508,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.991599977016449,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7315176725387573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743389368057251},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5522503852844238},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5474010109901428},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5185887813568115},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47828301787376404},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42882755398750305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39057299494743347},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.31251341104507446},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22736024856567383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13867586851119995},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11129805445671082}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7315176725387573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743389368057251},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5522503852844238},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5474010109901428},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5185887813568115},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47828301787376404},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42882755398750305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39057299494743347},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31251341104507446},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22736024856567383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13867586851119995},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11129805445671082},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3696410.3714616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/201345","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/201345","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-11550","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/10548","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://doi.org/10.1145%2F3696410.3714616","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W85477776","https://openalex.org/W1999445878","https://openalex.org/W2061950072","https://openalex.org/W2067860534","https://openalex.org/W2076402732","https://openalex.org/W2079814167","https://openalex.org/W2098650167","https://openalex.org/W2118718620","https://openalex.org/W2122736695","https://openalex.org/W2516274974","https://openalex.org/W2599461767","https://openalex.org/W2604314403","https://openalex.org/W2914712589","https://openalex.org/W2972440435","https://openalex.org/W2997791715","https://openalex.org/W3005922958","https://openalex.org/W3009389630","https://openalex.org/W3016938688","https://openalex.org/W3113368153","https://openalex.org/W3147164456","https://openalex.org/W3166794154","https://openalex.org/W3173097263","https://openalex.org/W3176897893","https://openalex.org/W3213202163","https://openalex.org/W4226230002","https://openalex.org/W4247245376","https://openalex.org/W4253180363","https://openalex.org/W4282946405","https://openalex.org/W4285024875","https://openalex.org/W4308487886","https://openalex.org/W4308571246","https://openalex.org/W4309345803","https://openalex.org/W4311767260","https://openalex.org/W4366607179","https://openalex.org/W4387093200","https://openalex.org/W4389328512","https://openalex.org/W4390419755","https://openalex.org/W4393161006","https://openalex.org/W4403863644"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2112121444","https://openalex.org/W3084456289","https://openalex.org/W2509452605","https://openalex.org/W3204654320"],"abstract_inverted_index":{"With":[0],"the":[1,35,61,80,141,177,189,243],"widespread":[2],"adoption":[3],"of":[4,20,39,85,112,179,245],"Internet":[5],"Protocol":[6],"(IP)":[7],"communication":[8],"technology":[9],"and":[10,37,48,82,92,119,151,156,163,182,204,220,236],"web-based":[11],"platforms,":[12],"cloud":[13,59,86,246],"manufacturing":[14,43,87],"has":[15],"become":[16],"a":[17,54,127,210],"significant":[18],"hallmark":[19],"Industry":[21],"4.0.":[22],"Integrating":[23],"graph":[24,131,143,149,172],"algorithms":[25],"into":[26,144],"these":[27,123],"web-enabled":[28],"environments":[29],"is":[30],"crucial":[31],"as":[32,108],"they":[33],"facilitate":[34],"representation":[36],"analysis":[38],"complex":[40],"relationships":[41,103,153],"in":[42,50,58,70],"processes,":[44],"enabling":[45,159],"efficient":[46],"decision-making":[47,186],"adaptability":[49,83],"dynamic":[51],"environments.":[52],"As":[53],"key":[55],"scheduling":[56,64],"problem":[57,65],"manufacturing,":[60],"flexible":[62],"job-shop":[63],"(FJSP)":[66],"finds":[67],"extensive":[68],"applications":[69],"real-world":[71],"scenarios.":[72],"However,":[73],"traditional":[74],"FJSP-solving":[75],"methods":[76,99,174],"struggle":[77],"to":[78,89,101,116,175,192,198],"meet":[79],"efficiency":[81],"demands":[84],"due":[88],"generalization":[90,239],"issues":[91],"excessive":[93],"computational":[94],"time,":[95],"while":[96,187],"reinforcement":[97],"learning-based":[98],"fail":[100],"learn":[102],"between":[104,110,154],"FJSP":[105],"nodes,":[106],"such":[107],"interactions":[109],"operations":[111],"different":[113],"jobs,":[114],"leading":[115],"limited":[117],"interpretability":[118],"performance.":[120],"To":[121],"address":[122],"issues,":[124],"we":[125,139,208],"propose":[126],"dual":[128],"operation":[129,183],"aggregation":[130,162,173],"neural":[132,166],"network":[133],"(GNN)":[134],"for":[135,194],"solving":[136],"FJSP.":[137],"Specifically,":[138],"decouple":[140],"disjunctive":[142],"two":[145,170],"distinct":[146,171],"graphs,":[147],"reducing":[148],"density":[150],"clarifying":[152],"machines":[155],"operations,":[157],"thus":[158],"more":[160,200],"effective":[161],"understanding":[164],"by":[165],"networks.":[167],"We":[168],"develop":[169],"minimize":[176],"influence":[178],"non-critical":[180],"machine":[181,216],"nodes":[184],"on":[185,226],"enhancing":[188],"model's":[190],"ability":[191],"account":[193],"long-term":[195],"benefits.":[196],"Additionally,":[197],"achieve":[199],"accurate":[201],"multi-objective":[202],"estimation":[203],"mitigate":[205],"reward":[206,211],"sparsity,":[207],"design":[209],"function":[212],"that":[213,230],"simultaneously":[214],"considers":[215],"efficiency,":[217],"schedule":[218],"balance,":[219],"makespan":[221],"minimization.":[222],"Extensive":[223],"experimental":[224],"results":[225],"well-known":[227],"datasets":[228],"demonstrate":[229],"our":[231],"model":[232],"outperforms":[233],"state-of-the-art":[234],"models":[235],"exhibits":[237],"excellent":[238],"capabilities,":[240],"effectively":[241],"addressing":[242],"challenges":[244],"manufacturing.":[247]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}