{"id":"https://openalex.org/W2899640738","doi":"https://doi.org/10.1007/s10845-018-1454-3","title":"Adaptive job shop scheduling strategy based on weighted Q-learning algorithm","display_name":"Adaptive job shop scheduling strategy based on weighted Q-learning algorithm","publication_year":2018,"publication_date":"2018-11-07","ids":{"openalex":"https://openalex.org/W2899640738","doi":"https://doi.org/10.1007/s10845-018-1454-3","mag":"2899640738"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-018-1454-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10845-018-1454-3","pdf_url":null,"source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","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":null,"display_name":"Yu-Fang Wang","orcid":"https://orcid.org/0000-0002-3264-6610"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu-Fang Wang","raw_affiliation_strings":["School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, 210044, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-3264-6610","affiliations":[{"raw_affiliation_string":"School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, 210044, Jiangsu, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":6.0574,"has_fulltext":false,"cited_by_count":136,"citation_normalized_percentile":{"value":0.96721595,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"31","issue":"2","first_page":"417","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9983999729156494,"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":0.9983999729156494,"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/T14011","display_name":"Elevator Systems and Control","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308808326721191},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6251205801963806},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5555277466773987},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48089006543159485},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4763120412826538},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.43996164202690125},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4178183972835541},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37156033515930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2641412615776062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2563450038433075},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08193978667259216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308808326721191},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6251205801963806},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5555277466773987},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48089006543159485},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4763120412826538},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.43996164202690125},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4178183972835541},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37156033515930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2641412615776062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563450038433075},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08193978667259216},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10845-018-1454-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10845-018-1454-3","pdf_url":null,"source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:joinma:v:31:y:2020:i:2:d:10.1007_s10845-018-1454-3","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-018-1454-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G812877917","display_name":null,"funder_award_id":"51705260","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W238624254","https://openalex.org/W1975983145","https://openalex.org/W1977357978","https://openalex.org/W1978709123","https://openalex.org/W1997854647","https://openalex.org/W2000630887","https://openalex.org/W2024966195","https://openalex.org/W2038781636","https://openalex.org/W2039609977","https://openalex.org/W2050657357","https://openalex.org/W2057279099","https://openalex.org/W2057669221","https://openalex.org/W2065111038","https://openalex.org/W2076032781","https://openalex.org/W2076977679","https://openalex.org/W2078062311","https://openalex.org/W2099563881","https://openalex.org/W2100844875","https://openalex.org/W2103660812","https://openalex.org/W2120386704","https://openalex.org/W2139242502","https://openalex.org/W2150339816","https://openalex.org/W2153962305","https://openalex.org/W2236464322","https://openalex.org/W2238711951","https://openalex.org/W2305203104","https://openalex.org/W2369614986","https://openalex.org/W2491052542","https://openalex.org/W2509619955","https://openalex.org/W2512238989","https://openalex.org/W2566793940","https://openalex.org/W2580909119","https://openalex.org/W2616713676","https://openalex.org/W2618749399","https://openalex.org/W2752408871","https://openalex.org/W2755352063","https://openalex.org/W2766489974","https://openalex.org/W2770310616","https://openalex.org/W3183630977","https://openalex.org/W4200411312","https://openalex.org/W4248245878","https://openalex.org/W6891257270"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W4362501864","https://openalex.org/W2107725657","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2112121444","https://openalex.org/W2031695474","https://openalex.org/W2509452605","https://openalex.org/W3204654320"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}