{"id":"https://openalex.org/W4401433010","doi":"https://doi.org/10.1007/s10845-024-02470-8","title":"A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups","display_name":"A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401433010","doi":"https://doi.org/10.1007/s10845-024-02470-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-024-02470-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02470-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02470-8.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02470-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102903079","display_name":"Funing Li","orcid":"https://orcid.org/0000-0002-4455-6997"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Funing Li","raw_affiliation_strings":["Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany","Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]},{"raw_affiliation_string":"Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014441161","display_name":"Sebastian Lang","orcid":"https://orcid.org/0000-0003-3397-1551"},"institutions":[{"id":"https://openalex.org/I4210139350","display_name":"Fraunhofer Institute for Factory Operation and Automation","ror":"https://ror.org/04qfaak15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139350","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Lang","raw_affiliation_strings":["Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstra\u00dfe 22, 39106, Magdeburg, Germany","Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstra\u00dfe 22, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210139350"]},{"raw_affiliation_string":"Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934265","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-4521-2096"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["Institute for Building Material, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute for Building Material, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055938574","display_name":"Bingyuan Hong","orcid":"https://orcid.org/0000-0002-4281-3902"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyuan Hong","raw_affiliation_strings":["National-Local Joint Engineering Laboratory of Harbor Oil and Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan, 316022, China"],"affiliations":[{"raw_affiliation_string":"National-Local Joint Engineering Laboratory of Harbor Oil and Gas Storage and Transportation Technology, Zhejiang Provincial Key Laboratory of Petrochemical Pollution Control, School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan, 316022, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077154644","display_name":"Benjamin Rolf","orcid":"https://orcid.org/0000-0002-5454-8894"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Rolf","raw_affiliation_strings":["Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106361986","display_name":"Ruben Noortwyck","orcid":"https://orcid.org/0000-0002-2863-2216"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ruben Noortwyck","raw_affiliation_strings":["Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809300","display_name":"Robert Schulz","orcid":"https://orcid.org/0000-0002-1711-1917"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Schulz","raw_affiliation_strings":["Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Mechanical Handling and Logistics, University of Stuttgart, Holzgartenstra\u00dfe 15B, 70174, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025644294","display_name":"Tobias Reggelin","orcid":"https://orcid.org/0000-0003-3001-9821"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Reggelin","raw_affiliation_strings":["Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, Universit\u00e4tsplatz 2, 39106, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102903079"],"corresponding_institution_ids":["https://openalex.org/I100066346","https://openalex.org/I95793202"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":4.8848,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95184296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"7","first_page":"4735","last_page":"4768"},"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9940000176429749,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9686999917030334,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7685588598251343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654751181602478},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5875951051712036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421302318572998},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5350391268730164},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4688877761363983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4072314202785492},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37639254331588745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23839986324310303}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7685588598251343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654751181602478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5875951051712036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421302318572998},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5350391268730164},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4688877761363983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4072314202785492},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37639254331588745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23839986324310303},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10845-024-02470-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02470-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02470-8.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:econstor.eu:10419/330625","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/330625","pdf_url":"https://www.econstor.eu/bitstream/10419/330625/1/10845_2024_Article_2470.pdf","source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/511775","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/511775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s10845-024-02470-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02470-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02470-8.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7809667843","display_name":null,"funder_award_id":"LQ23E040004","funder_id":"https://openalex.org/F4320338468","funder_display_name":"Basic Public Welfare Research Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338468","display_name":"Basic Public Welfare Research Program of Zhejiang Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401433010.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W25808712","https://openalex.org/W1532749141","https://openalex.org/W1777239053","https://openalex.org/W1806891645","https://openalex.org/W1980526967","https://openalex.org/W2000630887","https://openalex.org/W2003746847","https://openalex.org/W2019562701","https://openalex.org/W2020657176","https://openalex.org/W2026088596","https://openalex.org/W2037774956","https://openalex.org/W2045193725","https://openalex.org/W2052693123","https://openalex.org/W2055485911","https://openalex.org/W2070270802","https://openalex.org/W2113856408","https://openalex.org/W2134566618","https://openalex.org/W2160042899","https://openalex.org/W2320416284","https://openalex.org/W2491052542","https://openalex.org/W2731578208","https://openalex.org/W2787251336","https://openalex.org/W2833802126","https://openalex.org/W2892841407","https://openalex.org/W2911922644","https://openalex.org/W2975276336","https://openalex.org/W2994779380","https://openalex.org/W2997116190","https://openalex.org/W3009389630","https://openalex.org/W3016131367","https://openalex.org/W3016938688","https://openalex.org/W3037451795","https://openalex.org/W3039521905","https://openalex.org/W3087845791","https://openalex.org/W3088991213","https://openalex.org/W3092146681","https://openalex.org/W3105693230","https://openalex.org/W3111973741","https://openalex.org/W3146944767","https://openalex.org/W3147164456","https://openalex.org/W3158774605","https://openalex.org/W3162079807","https://openalex.org/W3186533996","https://openalex.org/W3193218352","https://openalex.org/W3194597201","https://openalex.org/W3194871405","https://openalex.org/W3201000358","https://openalex.org/W3207530029","https://openalex.org/W4206820958","https://openalex.org/W4210405781","https://openalex.org/W4212849065","https://openalex.org/W4212934617","https://openalex.org/W4213377513","https://openalex.org/W4224303892","https://openalex.org/W4226230002","https://openalex.org/W4226278401","https://openalex.org/W4238423424","https://openalex.org/W4245032432","https://openalex.org/W4281395180","https://openalex.org/W4281560723","https://openalex.org/W4284977281","https://openalex.org/W4285732480","https://openalex.org/W4290189424","https://openalex.org/W4293213129","https://openalex.org/W4302010773","https://openalex.org/W4306752035","https://openalex.org/W4306955484","https://openalex.org/W4308067623","https://openalex.org/W4310541177","https://openalex.org/W4313136739","https://openalex.org/W4318773873","https://openalex.org/W4321381823","https://openalex.org/W4360978881","https://openalex.org/W4366963008","https://openalex.org/W4385603717","https://openalex.org/W4386826860","https://openalex.org/W4387643251","https://openalex.org/W4388561576","https://openalex.org/W4389328512","https://openalex.org/W4389794392","https://openalex.org/W4390187191","https://openalex.org/W6677916085","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"Abstract":[0],"The":[1,222],"parallel":[2,20],"machine":[3,102],"scheduling":[4,181,239,248,267],"problem":[5],"(PMSP)":[6],"involves":[7],"the":[8,28,44,58,106,138,143,149,173,184,187,190,227,247,256],"optimized":[9],"assignment":[10],"of":[11,14,19,46,189,229,238,260],"a":[12,17,24,75,82,94,120,133,152,165,212,215,219,236],"set":[13],"jobs":[15],"to":[16,40,80,109,136,147],"collection":[18],"machines,":[21],"which":[22],"is":[23,195],"proper":[25],"formulation":[26],"for":[27,258],"modern":[29],"manufacturing":[30],"environment.":[31],"Deep":[32],"reinforcement":[33,77],"learning":[34],"(DRL)":[35],"has":[36],"been":[37],"widely":[38],"employed":[39],"solve":[41,246],"PMSP.":[42],"However,":[43],"majority":[45],"existing":[47,209],"DRL-based":[48,213],"frameworks":[49],"still":[50,63],"suffer":[51],"from":[52,113],"generalizability":[53],"and":[54,60,88,101,116,167,218,232,253,265],"scalability.":[55],"More":[56],"specifically,":[57],"state":[59,96,128,154],"action":[61],"design":[62,93],"heavily":[64],"rely":[65],"on":[66,175,204],"human":[67],"efforts.":[68],"To":[69,123],"bridge":[70],"these":[71],"gaps,":[72],"we":[73,130,199],"propose":[74],"practical":[76],"learning-based":[78],"framework":[79,163],"tackle":[81],"PMSP":[83],"with":[84,119,207,250],"new":[85],"job":[86,100],"arrivals":[87],"family":[89],"setup":[90],"constraints.":[91],"We":[92],"variable-length":[95],"matrix":[97],"containing":[98],"full":[99],"information.":[103],"This":[104,160],"enables":[105],"DRL":[107,139,150,162,261],"agent":[108,192,203],"autonomously":[110],"extract":[111],"features":[112],"raw":[114],"data":[115],"make":[117],"decisions":[118],"global":[121],"perspective.":[122],"efficiently":[124],"process":[125],"this":[126,201],"novel":[127,153],"matrix,":[129],"elaborately":[131],"modify":[132],"Transformer":[134,145],"model":[135,146],"represent":[137,148],"agent.":[140],"By":[141],"integrating":[142],"modified":[144],"agent,":[151],"representation":[155],"can":[156,244],"be":[157],"effectively":[158],"leveraged.":[159],"innovative":[161],"offers":[164],"high-quality":[166],"robust":[168],"solution":[169],"that":[170],"significantly":[171],"reduces":[172],"reliance":[174],"manual":[176],"effort":[177],"traditionally":[178],"required":[179],"in":[180,262],"tasks.":[182],"In":[183],"numerical":[185],"experiment,":[186],"stability":[188],"proposed":[191],"during":[193],"training":[194],"first":[196],"demonstrated.":[197],"Then":[198],"compare":[200],"trained":[202],"192":[205],"instances":[206],"several":[208],"approaches,":[210],"namely":[211],"approach,":[214],"metaheuristic":[216],"algorithm,":[217],"dispatching":[220],"rule.":[221],"extensive":[223],"experimental":[224],"results":[225],"demonstrate":[226],"scalability":[228],"our":[230,242],"approach":[231,243],"its":[233],"effectiveness":[234],"across":[235],"variety":[237],"scenarios.":[240],"Conclusively,":[241],"thus":[245],"problems":[249],"high":[251],"efficiency":[252],"flexibility,":[254],"paving":[255],"way":[257],"application":[259],"solving":[263],"complex":[264],"dynamic":[266],"problems.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}
