{"id":"https://openalex.org/W7118203673","doi":"https://doi.org/10.1016/j.eswa.2025.131024","title":"A Q-learning-driven evolutionary algorithm for energy-aware flexible job shop scheduling with preventive maintenance and finite AGVs","display_name":"A Q-learning-driven evolutionary algorithm for energy-aware flexible job shop scheduling with preventive maintenance and finite AGVs","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118203673","doi":"https://doi.org/10.1016/j.eswa.2025.131024"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2025.131024","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.131024","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","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/A5121959966","display_name":"Tianhua Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianhua Jiang","raw_affiliation_strings":["School of Transportation, Ludong University, Yantai, Shandong 264025, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Ludong University, Yantai, Shandong 264025, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118571933","display_name":"Chunlin Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Shang","raw_affiliation_strings":["School of Transportation, Ludong University, Yantai, Shandong 264025, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Ludong University, Yantai, Shandong 264025, China","institution_ids":["https://openalex.org/I182707071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5121959966"],"corresponding_institution_ids":["https://openalex.org/I182707071"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":35.8333,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98034214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"307","issue":null,"first_page":"131024","last_page":"131024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9093999862670898,"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":0.9093999862670898,"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":0.038600001484155655,"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":0.011300000362098217,"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/crossover","display_name":"Crossover","score":0.614300012588501},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5896000266075134},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5760999917984009},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5454000234603882},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5181999802589417},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5030999779701233},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.4537000060081482},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4465000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609000205993652},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.614300012588501},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5896000266075134},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.527400016784668},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5181999802589417},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.4537000060081482},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C24090081","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Preventive maintenance","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.37529999017715454},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C159022435","wikidata":"https://www.wikidata.org/wiki/Q5532874","display_name":"Genetic algorithm scheduling","level":5,"score":0.30880001187324524},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C2777869240","wikidata":"https://www.wikidata.org/wiki/Q1424398","display_name":"Flexible manufacturing system","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2025.131024","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.131024","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8869394063949585,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1978196144","https://openalex.org/W2005233446","https://openalex.org/W2019663106","https://openalex.org/W2057285547","https://openalex.org/W2147728576","https://openalex.org/W2167860374","https://openalex.org/W2331916262","https://openalex.org/W2566793940","https://openalex.org/W2937599159","https://openalex.org/W2980726971","https://openalex.org/W2993910952","https://openalex.org/W3026323484","https://openalex.org/W3026713809","https://openalex.org/W3037467778","https://openalex.org/W3048180965","https://openalex.org/W3092789657","https://openalex.org/W3111513880","https://openalex.org/W3128992509","https://openalex.org/W3195424413","https://openalex.org/W4252377716","https://openalex.org/W4281676456","https://openalex.org/W4288440726","https://openalex.org/W4310874173","https://openalex.org/W4312819473","https://openalex.org/W4321445869","https://openalex.org/W4362508036","https://openalex.org/W4381887818","https://openalex.org/W4385687110","https://openalex.org/W4385768749","https://openalex.org/W4389289196","https://openalex.org/W4391469576","https://openalex.org/W4398598976","https://openalex.org/W4400773523","https://openalex.org/W4400997282","https://openalex.org/W4401512732","https://openalex.org/W4401675535","https://openalex.org/W4404354680","https://openalex.org/W4405674031","https://openalex.org/W4407265076","https://openalex.org/W4408689786","https://openalex.org/W4408733099","https://openalex.org/W4408965344","https://openalex.org/W4409115442","https://openalex.org/W4409201768","https://openalex.org/W4410588794","https://openalex.org/W4413318545"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2026-01-05T00:00:00"}
