{"id":"https://openalex.org/W4415707233","doi":"https://doi.org/10.1109/tsmc.2025.3624063","title":"Real-Time Scheduling for Energy-Efficient Distributed Hybrid Flow-Shop With Evolution Strategies-Based Multiple Graph Neural Networks","display_name":"Real-Time Scheduling for Energy-Efficient Distributed Hybrid Flow-Shop With Evolution Strategies-Based Multiple Graph Neural Networks","publication_year":2025,"publication_date":"2025-10-30","ids":{"openalex":"https://openalex.org/W4415707233","doi":"https://doi.org/10.1109/tsmc.2025.3624063"},"language":null,"primary_location":{"id":"doi:10.1109/tsmc.2025.3624063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2025.3624063","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5019916375","display_name":"Yuanzhu Di","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanzhu Di","raw_affiliation_strings":["School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018352690","display_name":"Libao Deng","orcid":"https://orcid.org/0000-0003-0076-4054"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libao Deng","raw_affiliation_strings":["School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0003-0076-4054","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398661","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0001-8964-6454"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8964-6454","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019916375"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42795621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"1","first_page":"86","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.8454999923706055,"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":0.8454999923706055,"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/T10763","display_name":"Digital Transformation in Industry","score":0.0203000009059906,"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/T11053","display_name":"Process Optimization and Integration","score":0.009499999694526196,"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/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6010000109672546},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5475000143051147},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.541700005531311},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5110999941825867},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4738999903202057},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4731000065803528},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.44279998540878296},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.3917999863624573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106999754905701},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6010000109672546},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5110999941825867},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5004000067710876},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.44279998540878296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40130001306533813},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.392300009727478},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.3917999863624573},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.3546999990940094},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C159022435","wikidata":"https://www.wikidata.org/wiki/Q5532874","display_name":"Genetic algorithm scheduling","level":5,"score":0.28220000863075256},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.2782000005245209},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.2669000029563904},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2025.3624063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2025.3624063","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3734718629","display_name":null,"funder_award_id":"ZR2021MF063","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4791346061","display_name":null,"funder_award_id":"2022YFB3304002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5417069006","display_name":null,"funder_award_id":"62176075","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W3088906353","https://openalex.org/W3093994124","https://openalex.org/W3096926880","https://openalex.org/W3100366369","https://openalex.org/W3113439513","https://openalex.org/W3159449736","https://openalex.org/W3194871405","https://openalex.org/W3195920364","https://openalex.org/W3196179151","https://openalex.org/W3211006775","https://openalex.org/W3212586328","https://openalex.org/W4211086636","https://openalex.org/W4285024875","https://openalex.org/W4286377470","https://openalex.org/W4293370649","https://openalex.org/W4306377668","https://openalex.org/W4308487886","https://openalex.org/W4308571246","https://openalex.org/W4311629907","https://openalex.org/W4312441670","https://openalex.org/W4324062094","https://openalex.org/W4362723854","https://openalex.org/W4366607179","https://openalex.org/W4368232742","https://openalex.org/W4377088856","https://openalex.org/W4379162902","https://openalex.org/W4380925176","https://openalex.org/W4383199442","https://openalex.org/W4383752013","https://openalex.org/W4386590783","https://openalex.org/W4386959364","https://openalex.org/W4387093200","https://openalex.org/W4387335068","https://openalex.org/W4387395283","https://openalex.org/W4390600666","https://openalex.org/W4390908084","https://openalex.org/W4391055670","https://openalex.org/W4396752096","https://openalex.org/W4404198403","https://openalex.org/W4412486799"],"related_works":[],"abstract_inverted_index":{"As":[0],"artificial":[1],"intelligence":[2],"is":[3,62,78,115,160,172],"widely":[4],"used":[5,150],"for":[6,24,38,140],"solving":[7,196],"complex":[8],"engineering":[9],"optimization":[10,43],"problems,":[11],"various":[12],"deep":[13,180],"learning":[14,18],"(DL)":[15],"and":[16,59,85,98,121,125,177,184],"reinforcement":[17],"(RL)":[19],"methods":[20],"have":[21],"been":[22],"developed":[23],"manufacturing":[25,40],"scheduling,":[26],"particularly":[27],"scheduling":[28,37,52,175],"problems":[29],"considering":[30,55],"dynamic":[31],"events.":[32],"However,":[33],"studies":[34],"on":[35],"real-time":[36],"distributed":[39,49],"with":[41,135],"multiple":[42,73],"objectives":[44],"are":[45,101,129,138,149],"scarce.":[46],"Therefore,":[47],"the":[48,82,93,119,157,185,190,197],"hybrid":[50],"flow-shop":[51],"problem":[53],"(DHFSP)":[54],"new":[56],"job":[57],"arrivals":[58],"machine":[60],"breakdown":[61],"addressed":[63],"herein.":[64],"In":[65],"addition,":[66],"a":[67,104,111,126],"set":[68,112],"of":[69,113,166,193],"evolution":[70],"strategy":[71],"(ES)-based":[72],"graph":[74,132],"neural":[75,133],"networks":[76,134],"(MGNN-ES)":[77],"proposed":[79,170],"to":[80,117,151,174],"minimize":[81],"final":[83],"makespan":[84],"total":[86],"energy":[87],"consumption.":[88],"First,":[89],"two":[90],"subproblems":[91],"in":[92,143,195],"DHFSP,":[94],"including":[95],"factory":[96],"allocation":[97],"operation":[99],"selection,":[100],"formulated":[102],"as":[103],"Markov":[105],"decision":[106],"process.":[107],"For":[108],"each":[109,144],"subproblem,":[110],"graphs":[114],"employed":[116],"represent":[118],"state":[120,141],"an":[122,153],"action":[123],"space":[124],"reward":[127],"mechanism":[128],"designed.":[130],"Then,":[131,146],"different":[136],"structures":[137],"designed":[139],"embedding":[142],"subproblem.":[145],"multilayer":[147],"perceptrons":[148],"select":[152],"appropriate":[154],"action.":[155],"Finally,":[156],"DL":[158],"network":[159],"trained":[161],"by":[162],"employing":[163],"ESs":[164],"instead":[165],"RL":[167,181],"methods.":[168],"The":[169],"method":[171],"compared":[173],"rules":[176],"other":[178],"state-of-the-art":[179],"(DRL)":[182],"methods,":[183],"corresponding":[186],"numerical":[187],"results":[188],"demonstrate":[189],"high":[191],"potential":[192],"MGNN-ES":[194],"DHFSP.":[198]},"counts_by_year":[],"updated_date":"2025-12-19T00:32:22.182498","created_date":"2025-10-30T00:00:00"}