{"id":"https://openalex.org/W3092146681","doi":"https://doi.org/10.1109/case48305.2020.9216743","title":"optimization of dynamic multi-objective non-identical parallel machine scheduling with multi-stage reinforcement learning","display_name":"optimization of dynamic multi-objective non-identical parallel machine scheduling with multi-stage reinforcement learning","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3092146681","doi":"https://doi.org/10.1109/case48305.2020.9216743","mag":"3092146681"},"language":"en","primary_location":{"id":"doi:10.1109/case48305.2020.9216743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021337265","display_name":"Liangxun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangxun Guo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008471674","display_name":"Zilong Zhuang","orcid":"https://orcid.org/0000-0002-3396-2842"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Zhuang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057744294","display_name":"Zizhao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Huang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054830882","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0002-8527-0354"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tong University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1215","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9811000227928162,"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/T12288","display_name":"Optimization and Search Problems","score":0.9717000126838684,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8820286989212036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8106824159622192},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6140525341033936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4995241165161133},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4600493907928467},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.42075881361961365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4083428978919983},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3649928569793701},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.0990191102027893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0678132176399231}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8820286989212036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106824159622192},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6140525341033936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4995241165161133},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4600493907928467},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.42075881361961365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4083428978919983},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3649928569793701},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0990191102027893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0678132176399231},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case48305.2020.9216743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1081559464","https://openalex.org/W1532749141","https://openalex.org/W1965286437","https://openalex.org/W1987725948","https://openalex.org/W1988702433","https://openalex.org/W2000630887","https://openalex.org/W2005216095","https://openalex.org/W2027814701","https://openalex.org/W2031151470","https://openalex.org/W2070270802","https://openalex.org/W2071277483","https://openalex.org/W2082168200","https://openalex.org/W2086675367","https://openalex.org/W2092449143","https://openalex.org/W2094198194","https://openalex.org/W2122967269","https://openalex.org/W2132516028","https://openalex.org/W2280123974","https://openalex.org/W2283500179","https://openalex.org/W2310814937","https://openalex.org/W2320416284","https://openalex.org/W2334782222","https://openalex.org/W2518731509","https://openalex.org/W2899006805"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2112121444","https://openalex.org/W3084456289","https://openalex.org/W2509452605","https://openalex.org/W3204654320"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,34,54,58,67,70],"dynamic":[4,75],"non-identical":[5,77],"parallel":[6,78],"machine":[7,14,79],"scheduling":[8,80],"problem,":[9],"which":[10,41],"is":[11,30,42],"characterized":[12],"by":[13],"speed":[15],"differences,":[16],"uncertain":[17],"mission":[18],"arrival":[19],"time":[20],"and":[21,53],"multiple":[22],"optimization":[23],"metrics.":[24],"A":[25],"multi-stage":[26,38,60],"reinforcement":[27,61],"learning":[28,39,62],"approach":[29,63],"proposed":[31,59],"to":[32],"solve":[33],"problem":[35],"through":[36],"a":[37],"process":[40],"trained":[43],"repeatedly":[44],"with":[45],"different":[46,72],"goals.":[47],"Computational":[48],"experiments":[49],"have":[50],"been":[51],"conducted":[52],"results":[55],"demonstrate":[56],"that":[57],"can":[64],"better":[65],"balance":[66],"performance":[68],"across":[69],"three":[71],"objectives":[73],"for":[74],"multi-objective":[76],"problem.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
