{"id":"https://openalex.org/W4391721686","doi":"https://doi.org/10.1007/s11063-024-11488-1","title":"Research on Solving Flexible Job Shop Scheduling Problem Based on Improved GWO Algorithm SS-GWO","display_name":"Research on Solving Flexible Job Shop Scheduling Problem Based on Improved GWO Algorithm SS-GWO","publication_year":2024,"publication_date":"2024-02-10","ids":{"openalex":"https://openalex.org/W4391721686","doi":"https://doi.org/10.1007/s11063-024-11488-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11488-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11488-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11488-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11488-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101809480","display_name":"Kai Zhou","orcid":"https://orcid.org/0000-0001-9660-5423"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108523089","display_name":"C. L. Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhe Tan","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112389299","display_name":"Yi Zhao","orcid":"https://orcid.org/0009-0001-1858-0838"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113116873","display_name":"Junyuan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyuan Yu","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764888","display_name":"Zhilong Zhang","orcid":"https://orcid.org/0000-0002-5405-1220"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhilong Zhang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062530894","display_name":"Yanqiang Wu","orcid":"https://orcid.org/0000-0001-8251-4838"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanqiang Wu","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an, 271018, China","institution_ids":["https://openalex.org/I74485261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062530894","https://openalex.org/A5101764888"],"corresponding_institution_ids":["https://openalex.org/I74485261"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":5.073,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9546399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"56","issue":"1","first_page":null,"last_page":null},"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":0.9948999881744385,"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/T12288","display_name":"Optimization and Search Problems","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6343851685523987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.533391535282135},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4805765151977539},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43032175302505493},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28820037841796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17993378639221191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1671222746372223},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07698759436607361}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6343851685523987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.533391535282135},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4805765151977539},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43032175302505493},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28820037841796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17993378639221191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1671222746372223},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07698759436607361},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11488-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11488-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11488-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11488-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11488-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11488-1.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1003706558","display_name":null,"funder_award_id":"KGJ6142210210304","funder_id":"https://openalex.org/F4320328373","funder_display_name":"National Key Laboratory Foundation of China"},{"id":"https://openalex.org/G1131543232","display_name":null,"funder_award_id":"ZR2022QE103","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320328373","display_name":"National Key Laboratory Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391721686.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2046437335","https://openalex.org/W2096166399","https://openalex.org/W2136632629","https://openalex.org/W2157846217","https://openalex.org/W2166900052","https://openalex.org/W2278334872","https://openalex.org/W2282752563","https://openalex.org/W2308236655","https://openalex.org/W2412390076","https://openalex.org/W2509857223","https://openalex.org/W2799300598","https://openalex.org/W2810786926","https://openalex.org/W2898705603","https://openalex.org/W2899958226","https://openalex.org/W2941440048","https://openalex.org/W2942769178","https://openalex.org/W3011016572","https://openalex.org/W3035822922","https://openalex.org/W3082377584","https://openalex.org/W3096415170","https://openalex.org/W3203306539","https://openalex.org/W4200583838","https://openalex.org/W4205620499","https://openalex.org/W4231322964","https://openalex.org/W4288081098","https://openalex.org/W4293834851","https://openalex.org/W4321021716"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3172150420","https://openalex.org/W2390279801","https://openalex.org/W2107725657","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2112121444","https://openalex.org/W2509452605","https://openalex.org/W3204654320"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"an":[2,67],"important":[3],"branch":[4],"of":[5,34,102,104,123,149,162,170,183,207,219,255],"production":[6,59,281],"scheduling,":[7],"the":[8,28,32,41,50,58,77,83,88,92,100,116,124,142,145,159,168,181,186,193,208,234,242,261,279],"flexible":[9,271],"job":[10,272],"shop":[11,273],"scheduling":[12,274,282],"problem":[13],"(FJSP)":[14],"is":[15,44,112,153,173,200,246],"a":[16,45,107,138,266],"typical":[17],"NP-hard":[18],"problem.":[19],"Researchers":[20],"have":[21],"adopted":[22],"many":[23],"intelligent":[24],"algorithms":[25,190],"to":[26,56,99,114,157,202],"solve":[27,203],"FJSP":[29,204,223],"problem,":[30],"nonetheless,":[31],"task":[33],"dynamically":[35],"adapting":[36],"its":[37],"essential":[38],"parameters":[39],"during":[40],"computational":[42],"process":[43],"significant":[46],"challenge,":[47],"resulting":[48],"in":[49,155,191],"solution":[51,216,268],"efficiency":[52],"and":[53,87,119,133,217,241,250,257,260],"quality":[54],"failing":[55],"meet":[57],"requirements.":[60],"To":[61],"this":[62,64],"end,":[63],"paper":[65],"proposes":[66],"adaptive":[68],"gray":[69,78],"wolf":[70,79],"fast":[71],"optimization":[72,85,131,239],"algorithm":[73,80,89,125,236,264],"(SS-GWO),":[74],"which":[75,276],"adopts":[76],"(GWO)":[81],"as":[82],"basic":[84],"method,":[86],"adaptively":[90],"selects":[91],"global":[93,117],"search":[94,97,147],"or":[95],"local":[96,120],"according":[98],"degree":[101],"agglomeration":[103],"individuals.":[105],"Firstly,":[106],"non-linear":[108],"convergence":[109,135],"factor":[110],"strategy":[111],"employed":[113],"control":[115],"exploration":[118,160],"exploitation":[121],"capabilities":[122],"at":[126],"different":[127],"stages.":[128],"This":[129],"enhances":[130],"precision":[132],"accelerates":[134],"speed,":[136],"achieving":[137],"dynamic":[139],"balance":[140],"between":[141],"two.":[143],"Secondly,":[144],"spiral":[146],"mechanism":[148],"Whale":[150],"Optimization":[151,165],"Algorithm":[152],"used":[154],"GWO":[156],"improve":[158],"capability":[161],"Gray":[163],"Wolf":[164],"Algorithm.":[166],"Finally,":[167],"effectiveness":[169],"SS-GWO":[171,184,199,220,235,263],"model":[172],"verified":[174],"by":[175,205,248],"comparison":[176,179],"experiments.":[177],"The":[178,214,229],"demonstrates":[180],"superiority":[182],"over":[185],"other":[187,227],"five":[188],"state-of-the-art":[189],"solving":[192,222],"22":[194],"classical":[195],"benchmark":[196],"test":[197,210],"functions.":[198],"applied":[201],"means":[206],"standard":[209],"function":[211],"bandimarte":[212],"calculus.":[213],"optimal":[215],"performance":[218],"for":[221],"are":[224],"compared":[225,252],"with":[226,253],"algorithms.":[228],"experimental":[230],"results":[231],"show":[232],"that":[233,254],"has":[237],"good":[238],"performance,":[240],"maximum":[243],"completion":[244],"time":[245],"reduced":[247],"19%":[249],"37%":[251],"IGWO":[256],"GWO,":[258],"respectively,":[259],"proposed":[262],"achieves":[265],"better":[267],"effect":[269],"on":[270],"instances,":[275],"can":[277],"satisfy":[278],"actual":[280],"needs.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}