{"id":"https://openalex.org/W4390075227","doi":"https://doi.org/10.1109/tcyb.2023.3336656","title":"A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery","display_name":"A Reinforcement-Learning-Based 3-D Estimation of Distribution Algorithm for Fuzzy Distributed Hybrid Flow-Shop Scheduling Considering On-Time-Delivery","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4390075227","doi":"https://doi.org/10.1109/tcyb.2023.3336656","pmid":"https://pubmed.ncbi.nlm.nih.gov/38127615"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2023.3336656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3336656","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":true,"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":"middle","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":false,"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":"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/A5018352690"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":7.5735,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97493044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"54","issue":"2","first_page":"1024","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9987999796867371,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.6700717210769653},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6433581709861755},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.6079566478729248},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.5914884209632874},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5580546259880066},{"id":"https://openalex.org/keywords/mass-customization","display_name":"Mass customization","score":0.5258931517601013},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5115457773208618},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4901305139064789},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4840616285800934},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4277431070804596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41923877596855164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1967718005180359},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.19149285554885864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16428416967391968},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14163780212402344},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.11434435844421387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700717210769653},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6433581709861755},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.6079566478729248},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.5914884209632874},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5580546259880066},{"id":"https://openalex.org/C72414096","wikidata":"https://www.wikidata.org/wiki/Q1367461","display_name":"Mass customization","level":3,"score":0.5258931517601013},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5115457773208618},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4901305139064789},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4840616285800934},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4277431070804596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41923877596855164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1967718005180359},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.19149285554885864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16428416967391968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14163780212402344},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.11434435844421387},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2023.3336656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3336656","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:38127615","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38127615","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/7"}],"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":54,"referenced_works":["https://openalex.org/W1540706608","https://openalex.org/W1983923832","https://openalex.org/W1996665895","https://openalex.org/W2026084974","https://openalex.org/W2032914142","https://openalex.org/W2037201010","https://openalex.org/W2050215344","https://openalex.org/W2051947812","https://openalex.org/W2057559771","https://openalex.org/W2088612356","https://openalex.org/W2090069860","https://openalex.org/W2093563804","https://openalex.org/W2112318502","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2153654820","https://openalex.org/W2327691617","https://openalex.org/W2972396893","https://openalex.org/W3003336712","https://openalex.org/W3011727273","https://openalex.org/W3020917412","https://openalex.org/W3035777076","https://openalex.org/W3048985025","https://openalex.org/W3080185089","https://openalex.org/W3088906353","https://openalex.org/W3091132301","https://openalex.org/W3096926880","https://openalex.org/W3113439513","https://openalex.org/W3159351996","https://openalex.org/W3159449736","https://openalex.org/W3195920364","https://openalex.org/W3196179151","https://openalex.org/W3210307618","https://openalex.org/W3211006775","https://openalex.org/W3212586328","https://openalex.org/W4206046085","https://openalex.org/W4206820958","https://openalex.org/W4210876519","https://openalex.org/W4211007335","https://openalex.org/W4211086636","https://openalex.org/W4226300969","https://openalex.org/W4229334149","https://openalex.org/W4236852734","https://openalex.org/W4285106612","https://openalex.org/W4286264545","https://openalex.org/W4286377470","https://openalex.org/W4288048318","https://openalex.org/W4293258823","https://openalex.org/W4294310893","https://openalex.org/W4312441670","https://openalex.org/W4312767177","https://openalex.org/W4361861314","https://openalex.org/W4379117181"],"related_works":["https://openalex.org/W2967782293","https://openalex.org/W2185192838","https://openalex.org/W2069961172","https://openalex.org/W2955323683","https://openalex.org/W1564838499","https://openalex.org/W2559484340","https://openalex.org/W26892725","https://openalex.org/W2044138255","https://openalex.org/W2165758382","https://openalex.org/W1971939018"],"abstract_inverted_index":{"With":[0],"the":[1,46,60,89,139,165,179,189,195,198,202],"increasing":[2],"level":[3],"of":[4,8,77,141,154,159,168,181,197],"mass-customization":[5],"and":[6,54,73,91,102,108,164,186,188],"globalization":[7],"competition,":[9],"environmentally":[10],"friendly":[11],"production":[12],"scheduling":[13,26,49,65],"for":[14,111,151],"distributed":[15,48,62],"manufacturing":[16,36],"considering":[17,50,67],"customer":[18,55],"satisfaction":[19],"has":[20,41],"received":[21],"growing":[22],"attention.":[23],"Meanwhile,":[24],"uncertain":[25,47],"is":[27,71,85,121,135,149,162,170],"becoming":[28],"a":[29,74,103,117,127,145],"force":[30],"to":[31,87,123,137],"be":[32],"considered":[33],"within":[34],"intelligent":[35],"industries.":[37],"However,":[38],"little":[39],"research":[40],"been":[42],"found":[43],"that":[44],"surveyed":[45],"both":[51],"energy":[52,93],"consumption":[53,94],"satisfaction.":[56],"In":[57],"this":[58],"article,":[59],"fuzzy":[61],"hybrid":[63],"flow-shop":[64],"problem":[66],"on-time":[68],"delivery":[69,97],"(FDHFSP-OTD)":[70],"addressed,":[72],"3-D":[75,118],"estimation":[76],"distribution":[78],"algorithm":[79],"(EDA)":[80],"with":[81,116,191],"reinforcement":[82],"learning":[83],"(RL)":[84],"proposed":[86,136],"minimize":[88],"makespan":[90],"total":[92],"while":[95],"maximizing":[96],"accuracy.":[98],"First,":[99],"two":[100],"heuristics":[101],"random":[104],"method":[105,130],"are":[106],"designed":[107,184],"used":[109],"cooperatively":[110],"initialization.":[112],"Next,":[113],"an":[114],"EDA":[115],"probability":[119],"matrix":[120],"innovated":[122],"generate":[124],"offspring.":[125],"Then,":[126],"biased":[128],"decoding":[129],"based":[131],"on":[132],"Q":[133],"-learning":[134],"adjust":[138],"direction":[140],"evolution":[142],"self-adaptively.":[143],"Moreover,":[144],"local":[146],"intensification":[147],"strategy":[148,185],"employed":[150],"further":[152],"enhancement":[153],"elite":[155],"solutions.":[156],"The":[157,175],"effect":[158],"major":[160],"parameters":[161],"analyzed":[163],"best":[166],"combination":[167],"values":[169],"determined":[171],"through":[172],"extensive":[173],"experiments.":[174],"numerical":[176],"results":[177],"prove":[178],"effectiveness":[180],"each":[182],"specially":[183],"method,":[187],"comparisons":[190],"existing":[192],"algorithms":[193],"demonstrate":[194],"high-potential":[196],"3D-EDA/RL":[199],"in":[200],"solving":[201],"FDHFSP-OTD.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}