{"id":"https://openalex.org/W2914712589","doi":"https://doi.org/10.1109/access.2019.2897603","title":"Multi-Agent Based Hyper-Heuristics for Multi-Objective Flexible Job Shop Scheduling: A Case Study in an Aero-Engine Blade Manufacturing Plant","display_name":"Multi-Agent Based Hyper-Heuristics for Multi-Objective Flexible Job Shop Scheduling: A Case Study in an Aero-Engine Blade Manufacturing Plant","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2914712589","doi":"https://doi.org/10.1109/access.2019.2897603","mag":"2914712589"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2897603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897603","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08635479.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08635479.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084741088","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0002-5129-9159"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5129-9159","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087260228","display_name":"Jianjun Yang","orcid":"https://orcid.org/0000-0001-8040-8636"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Jun Yang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049226851","display_name":"Lianyu Zheng","orcid":"https://orcid.org/0000-0003-1489-4829"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian-Yu Zheng","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084741088"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.1852,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96524168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"21147","last_page":"21176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9909999966621399,"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":0.7710139751434326},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6982800364494324},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.546684741973877},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5175180435180664},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5068650841712952},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.506271481513977},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4616056978702545},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4498360753059387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30123135447502136},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.1465020775794983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710139751434326},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6982800364494324},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.546684741973877},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5175180435180664},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5068650841712952},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.506271481513977},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4616056978702545},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4498360753059387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30123135447502136},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.1465020775794983},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2897603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897603","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08635479.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a646e6b49bed41deb763ea3ab3fd06d2","is_oa":true,"landing_page_url":"https://doaj.org/article/a646e6b49bed41deb763ea3ab3fd06d2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 21147-21176 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2897603","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897603","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08635479.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914712589.pdf","grobid_xml":"https://content.openalex.org/works/W2914712589.grobid-xml"},"referenced_works_count":105,"referenced_works":["https://openalex.org/W32649994","https://openalex.org/W237685365","https://openalex.org/W1075229800","https://openalex.org/W1532749141","https://openalex.org/W1542437639","https://openalex.org/W1565746575","https://openalex.org/W1964674593","https://openalex.org/W1964968822","https://openalex.org/W1969772048","https://openalex.org/W1970867026","https://openalex.org/W1972328517","https://openalex.org/W1973887873","https://openalex.org/W1974714742","https://openalex.org/W1976476030","https://openalex.org/W1981064269","https://openalex.org/W1981616524","https://openalex.org/W1999445878","https://openalex.org/W2001757507","https://openalex.org/W2003746847","https://openalex.org/W2008460279","https://openalex.org/W2013885755","https://openalex.org/W2023002456","https://openalex.org/W2024220203","https://openalex.org/W2024966195","https://openalex.org/W2028625526","https://openalex.org/W2029481182","https://openalex.org/W2031672044","https://openalex.org/W2032147932","https://openalex.org/W2035292227","https://openalex.org/W2037705289","https://openalex.org/W2041489433","https://openalex.org/W2043947065","https://openalex.org/W2046437335","https://openalex.org/W2055025427","https://openalex.org/W2059180678","https://openalex.org/W2063972265","https://openalex.org/W2066489858","https://openalex.org/W2070389897","https://openalex.org/W2072441740","https://openalex.org/W2073292872","https://openalex.org/W2083324777","https://openalex.org/W2086281524","https://openalex.org/W2087091680","https://openalex.org/W2087376002","https://openalex.org/W2093386465","https://openalex.org/W2094189035","https://openalex.org/W2098650167","https://openalex.org/W2104017154","https://openalex.org/W2119924737","https://openalex.org/W2126105956","https://openalex.org/W2132196970","https://openalex.org/W2151554678","https://openalex.org/W2165171393","https://openalex.org/W2166858694","https://openalex.org/W2183545681","https://openalex.org/W2223165035","https://openalex.org/W2249666447","https://openalex.org/W2260286117","https://openalex.org/W2275596639","https://openalex.org/W2312336076","https://openalex.org/W2321948413","https://openalex.org/W2338221820","https://openalex.org/W2340969748","https://openalex.org/W2342813756","https://openalex.org/W2394995702","https://openalex.org/W2469512448","https://openalex.org/W2493430091","https://openalex.org/W2504779171","https://openalex.org/W2513543791","https://openalex.org/W2526876274","https://openalex.org/W2546496111","https://openalex.org/W2549540100","https://openalex.org/W2561816553","https://openalex.org/W2565870578","https://openalex.org/W2590959390","https://openalex.org/W2602695909","https://openalex.org/W2604208500","https://openalex.org/W2604881377","https://openalex.org/W2625622743","https://openalex.org/W2730961798","https://openalex.org/W2743873557","https://openalex.org/W2751499904","https://openalex.org/W2752408871","https://openalex.org/W2755937483","https://openalex.org/W2766299898","https://openalex.org/W2780486786","https://openalex.org/W2782812883","https://openalex.org/W2788276261","https://openalex.org/W2789369467","https://openalex.org/W2790478433","https://openalex.org/W2799300598","https://openalex.org/W2802562461","https://openalex.org/W2803393240","https://openalex.org/W2803491698","https://openalex.org/W2810729466","https://openalex.org/W2892345225","https://openalex.org/W2895047645","https://openalex.org/W2897867825","https://openalex.org/W2900443310","https://openalex.org/W2903011525","https://openalex.org/W2994964425","https://openalex.org/W6601339270","https://openalex.org/W6632410151","https://openalex.org/W6756326904","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W2895982276","https://openalex.org/W2039885954","https://openalex.org/W2031676021","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"],"abstract_inverted_index":{"In":[0],"the":[1,46,49,58,65,71,92,96,105,109,113,116,120,132,136,147,153,173,177,184,189,193,199,202,205,213,225,235],"paper,":[2],"a":[3,84,158],"case":[4],"study":[5],"focusing":[6],"on":[7,224,242],"multi-objective":[8,218],"flexible":[9],"job":[10],"shop":[11,137],"scheduling":[12,81,99,143,149],"problem":[13,24,50,82],"(MO-FJSP)":[14],"in":[15,26,45,166,234,247],"an":[16,76],"aero-engine":[17],"blade":[18],"manufacturing":[19,236,249],"plant":[20],"is":[21,83,163,169,240],"presented.":[22],"The":[23,228],"considered":[25],"this":[27,124],"paper":[28],"involves":[29],"many":[30],"attributes,":[31],"including":[32],"working":[33],"calendar,":[34],"due":[35],"dates,":[36],"and":[37,53,118,179,201,216,244],"lot":[38],"size.":[39],"Moreover,":[40],"dynamic":[41],"events":[42],"occur":[43],"frequently":[44,164],"shop-floor,":[47],"making":[48],"more":[51,62],"challenging":[52],"requiring":[54],"real-time":[55],"responses.":[56],"Therefore,":[57],"priority-based":[59],"methods":[60,69],"are":[61,139,208],"suitable":[63],"than":[64],"computationally":[66],"intensive":[67],"search-based":[68],"for":[70,79,88,146],"online":[72,80,148],"scheduling.":[73],"However,":[74],"developing":[75],"effective":[77],"heuristic":[78],"tedious":[85],"work":[86],"even":[87],"domain":[89,93],"experts.":[90],"Furthermore,":[91,197],"knowledge":[94,134],"of":[95,115,135,155,204],"practical":[97,226],"production":[98],"needs":[100],"to":[101,107,141,171],"be":[102],"integrated":[103,130],"into":[104],"algorithm":[106],"guide":[108],"search":[110],"direction,":[111],"accelerate":[112],"convergence":[114],"algorithm,":[117],"improve":[119],"solution":[121],"quality.":[122],"To":[123,151],"end,":[125],"three":[126,194],"multi-agent-based":[127],"hyper-heuristics":[128],"(MAHH)":[129],"with":[131,212],"prior":[133],"floor":[138],"proposed":[140,229],"evolve":[142],"policies":[144],"(SPs)":[145],"problem.":[150,175],"evaluate":[152],"performance":[154],"evolved":[156,206],"SPs,":[157],"5-fold":[159],"cross-validation":[160],"method":[161,187,230],"which":[162],"used":[165],"machine":[167],"learning":[168],"adopted":[170],"avoid":[172],"overfitting":[174],"Both":[176],"training":[178],"test":[180],"results":[181],"demonstrate":[182],"that":[183,239],"bottleneck-agent-based":[185],"hyper-heuristic":[186],"produces":[188],"best":[190],"result":[191],"among":[192],"MAHH":[195],"methods.":[196],"both":[198],"effectiveness":[200],"efficiency":[203],"SPs":[207],"verified":[209],"by":[210],"comparison":[211],"well-known":[214],"heuristics":[215],"two":[217],"particle":[219],"swarm":[220],"optimization":[221],"(MOPSO)":[222],"algorithms":[223],"case.":[227],"has":[231],"been":[232],"embedded":[233],"execution":[237],"system":[238],"built":[241],"JAVA":[243],"successfully":[245],"applied":[246],"several":[248],"plants.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
