{"id":"https://openalex.org/W4385979017","doi":"https://doi.org/10.3390/sym15081600","title":"Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer","display_name":"Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer","publication_year":2023,"publication_date":"2023-08-18","ids":{"openalex":"https://openalex.org/W4385979017","doi":"https://doi.org/10.3390/sym15081600"},"language":"en","primary_location":{"id":"doi:10.3390/sym15081600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081600","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1600/pdf?version=1692348978","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/8/1600/pdf?version=1692348978","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100326059","display_name":"Zhenpeng Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenpeng Ge","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100674676","display_name":"Hongfeng Wang","orcid":"https://orcid.org/0000-0002-8954-0876"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongfeng Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang 110819, China"],"raw_orcid":"https://orcid.org/0000-0002-8954-0876","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100674676"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.8579,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75812366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"15","issue":"8","first_page":"1600","last_page":"1600"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9957000017166138,"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":0.9954000115394592,"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":0.7110899090766907},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6337299942970276},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5981189608573914},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5170660614967346},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5164023041725159},{"id":"https://openalex.org/keywords/preventive-maintenance","display_name":"Preventive maintenance","score":0.5053966045379639},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1585370898246765},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.13463693857192993},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.12960964441299438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12946301698684692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110899090766907},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6337299942970276},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5981189608573914},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5170660614967346},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5164023041725159},{"id":"https://openalex.org/C24090081","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Preventive maintenance","level":2,"score":0.5053966045379639},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1585370898246765},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.13463693857192993},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.12960964441299438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12946301698684692},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15081600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081600","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1600/pdf?version=1692348978","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4ab660d0efa64b12b37708636efc7217","is_oa":false,"landing_page_url":"https://doaj.org/article/4ab660d0efa64b12b37708636efc7217","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 8, p 1600 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/8/1600/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15081600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15081600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15081600","pdf_url":"https://www.mdpi.com/2073-8994/15/8/1600/pdf?version=1692348978","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6089626482","display_name":null,"funder_award_id":"61973203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7588320444","display_name":null,"funder_award_id":"72271048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385979017.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1488422606","https://openalex.org/W1605224640","https://openalex.org/W1971258248","https://openalex.org/W1981800034","https://openalex.org/W1991152244","https://openalex.org/W2004158688","https://openalex.org/W2033437970","https://openalex.org/W2034336861","https://openalex.org/W2059218646","https://openalex.org/W2063345867","https://openalex.org/W2087641897","https://openalex.org/W2131830737","https://openalex.org/W2149884725","https://openalex.org/W2156391157","https://openalex.org/W2168079536","https://openalex.org/W2196356957","https://openalex.org/W2603066586","https://openalex.org/W2897754008","https://openalex.org/W2954225890","https://openalex.org/W3082377584","https://openalex.org/W3084244826","https://openalex.org/W3100105995","https://openalex.org/W3134859513","https://openalex.org/W3139484821","https://openalex.org/W3173943138","https://openalex.org/W3204316411","https://openalex.org/W3207440556","https://openalex.org/W4220850901","https://openalex.org/W4220966002","https://openalex.org/W4284896090","https://openalex.org/W4293104555","https://openalex.org/W4296990378","https://openalex.org/W4303645105","https://openalex.org/W4309441548","https://openalex.org/W4310737689","https://openalex.org/W4319872721","https://openalex.org/W4328136079","https://openalex.org/W6629144528"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W3204654320"],"abstract_inverted_index":{"In":[0,62,89],"recent":[1],"years,":[2],"integration":[3],"of":[4,22,40,78,101,111,121],"production":[5],"scheduling":[6,43,123,147],"and":[7,20,44,135,153],"machine":[8],"maintenance":[9,46],"has":[10],"gained":[11],"increasing":[12],"attention":[13],"in":[14,49,57,84,159],"order":[15],"to":[16,54,72,97,105,118],"improve":[17],"the":[18,36,50,58,63,75,85,99,102,144,150],"stability":[19],"efficiency":[21],"flowshop":[23,42,122],"manufacturing":[24,60],"systems.":[25],"This":[26],"paper":[27],"proposes":[28],"a":[29,67],"Q-learning-based":[30],"aquila":[31,87],"optimizer":[32],"(QL-AO)":[33],"for":[34],"solving":[35],"integrated":[37,146],"optimization":[38],"problem":[39],"blocking":[41,48],"preventive":[45],"since":[47],"jobs":[51],"processing":[52],"requires":[53],"be":[55],"considered":[56],"practice":[59],"environments.":[61],"proposed":[64,151],"algorithmic":[65],"framework,":[66],"Q-learning":[68,152],"algorithm":[69],"is":[70],"designed":[71],"adaptively":[73],"adjust":[74],"selection":[76],"probabilities":[77],"four":[79],"key":[80],"population":[81],"update":[82],"strategies":[83,156],"classic":[86],"optimizer.":[88],"addition,":[90],"five":[91],"local":[92,154],"search":[93,155],"methods":[94],"are":[95,114,157],"employed":[96],"refine":[98],"quality":[100],"individuals":[103],"according":[104,117],"their":[106],"fitness":[107],"level.":[108],"A":[109],"series":[110],"numerical":[112],"experiments":[113],"carried":[115],"out":[116],"two":[119,136],"groups":[120],"benchmark.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128],"QL-AO":[129],"significantly":[130],"outperforms":[131],"six":[132],"peer":[133],"algorithms":[134,139],"state-of-the-art":[137],"hybrid":[138],"based":[140],"on":[141,143],"Q-Learning":[142],"investigated":[145],"problem.":[148],"Additionally,":[149],"effective":[158],"improving":[160],"its":[161],"performance.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}