{"id":"https://openalex.org/W4411600637","doi":"https://doi.org/10.1109/cec65147.2025.11043115","title":"Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem","display_name":"Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600637","doi":"https://doi.org/10.1109/cec65147.2025.11043115"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5009833007","display_name":"Wenqiang Zhang","orcid":"https://orcid.org/0000-0002-8214-0693"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqiang Zhang","raw_affiliation_strings":["Henan University of Technology,School of Artificial Intelligence and Big Data,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Henan University of Technology,School of Artificial Intelligence and Big Data,Zhengzhou,China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112661931","display_name":"Xuan Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Bao","raw_affiliation_strings":["Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775670","display_name":"Mingzhe Li","orcid":"https://orcid.org/0000-0001-5598-7664"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Li","raw_affiliation_strings":["Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100679664","display_name":"Xixi Li","orcid":"https://orcid.org/0000-0001-7400-589X"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixi Li","raw_affiliation_strings":["Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Henan University of Technology,College of Information Science and Engineering,Zhengzhou,China","institution_ids":["https://openalex.org/I36152291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009833007"],"corresponding_institution_ids":["https://openalex.org/I36152291"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24129888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9713000059127808,"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":0.9034000039100647,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320668697357178},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5700497031211853},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.5635440349578857},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.49063625931739807},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.42622876167297363},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3429754376411438},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1408485472202301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07490983605384827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320668697357178},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5700497031211853},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.5635440349578857},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49063625931739807},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.42622876167297363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3429754376411438},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1408485472202301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07490983605384827},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11043115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321955","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2119074783","https://openalex.org/W2970875053","https://openalex.org/W3027963920","https://openalex.org/W3102115455","https://openalex.org/W3159351996","https://openalex.org/W3194459689","https://openalex.org/W3195920364","https://openalex.org/W3205172848","https://openalex.org/W3209635021","https://openalex.org/W4210844773","https://openalex.org/W4223993390","https://openalex.org/W4304843050","https://openalex.org/W4306928238","https://openalex.org/W4308467154","https://openalex.org/W4320351800","https://openalex.org/W4323352982","https://openalex.org/W4379115102","https://openalex.org/W4385300723","https://openalex.org/W4385694318","https://openalex.org/W4386617600","https://openalex.org/W4388145540","https://openalex.org/W4390197289","https://openalex.org/W4396620260","https://openalex.org/W4399795677","https://openalex.org/W4400450885","https://openalex.org/W4400618071","https://openalex.org/W4404613236"],"related_works":["https://openalex.org/W2967782293","https://openalex.org/W2185192838","https://openalex.org/W2069961172","https://openalex.org/W2955323683","https://openalex.org/W1564838499","https://openalex.org/W2559484340","https://openalex.org/W26892725","https://openalex.org/W2165758382","https://openalex.org/W1971939018","https://openalex.org/W3155166764"],"abstract_inverted_index":{"With":[0],"the":[1,7],"rapid":[2],"advancement":[3],"of":[4,9,37],"Industry":[5],"5.0,":[6],"impact":[8],"worker":[10],"resource":[11],"constraints":[12,29],"on":[13,74],"scheduling":[14,155],"problems":[15],"has":[16,31],"become":[17],"increasingly":[18],"significant.":[19],"The":[20,78],"Distributed":[21],"Heterogeneous":[22],"Hybrid":[23,67],"Flow-shop":[24,39],"Scheduling":[25,40],"Problem":[26,41],"with":[27],"Worker":[28,58],"(DHHFSP-W)":[30],"emerged":[32],"as":[33],"an":[34,146],"important":[35],"extension":[36],"traditional":[38],"(FSP).":[42],"To":[43],"address":[44],"this":[45,48],"NP-hard":[46],"problem,":[47],"paper":[49],"aims":[50],"to":[51,89,103,111],"minimize":[52],"Total":[53],"Energy":[54],"Consumption":[55],"(TEC)":[56],"and":[57,87,95,108,135,148],"Costs":[59],"(WC)":[60],"by":[61],"proposing":[62],"a":[63,81,97],"Q-learning":[64,98],"driven":[65,99],"Multi-objective":[66],"Particle":[68],"Swarm":[69],"Optimization":[70],"(QL-MOHPSO)":[71],"algorithm":[72,79],"based":[73],"four":[75],"vectors":[76],"encoding.":[77],"integrates":[80],"hybrid":[82],"sampling":[83],"strategy":[84,102],"combining":[85],"VEGA":[86],"PDDR-FF":[88],"divide":[90],"particles":[91],"into":[92],"three":[93],"subgroups":[94],"employs":[96],"multi-group":[100],"search":[101,117],"effectively":[104],"balance":[105],"solution":[106,113],"diversity":[107],"convergence.":[109],"Furthermore,":[110],"enhance":[112],"quality,":[114],"eight":[115],"local":[116],"strategies":[118],"are":[119],"designed":[120],"for":[121,152],"specific":[122],"vectors.":[123],"Experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"QL-MOHPSO":[128],"exhibits":[129],"superior":[130],"performance":[131],"across":[132],"small,":[133],"medium,":[134],"larger-scale":[136],"instances,":[137],"significantly":[138],"outperforming":[139],"six":[140],"benchmark":[141],"algorithms.":[142],"This":[143],"study":[144],"provides":[145],"efficient":[147],"reliable":[149],"optimization":[150],"approach":[151],"addressing":[153],"complex":[154],"problems.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
