{"id":"https://openalex.org/W4410757084","doi":"https://doi.org/10.32604/cmc.2025.065972","title":"Multi-Level Subpopulation-Based Particle Swarm Optimization Algorithm for Hybrid Flow Shop Scheduling Problem with Limited Buffers","display_name":"Multi-Level Subpopulation-Based Particle Swarm Optimization Algorithm for Hybrid Flow Shop Scheduling Problem with Limited Buffers","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410757084","doi":"https://doi.org/10.32604/cmc.2025.065972"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.065972","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065972","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.065972","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101601123","display_name":"Yuan Zou","orcid":"https://orcid.org/0000-0002-4584-793X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuan Zou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050605858","display_name":"Chao Lu","orcid":"https://orcid.org/0000-0003-4637-6065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Lu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033434908","display_name":"Lvjiang Yin","orcid":"https://orcid.org/0000-0003-4820-7791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lvjiang Yin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023577015","display_name":"Xiaoyu Wen","orcid":"https://orcid.org/0000-0002-0716-1101"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyu Wen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101601123"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2752,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81263337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"84","issue":"2","first_page":"2305","last_page":"2330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9961000084877014,"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":0.9961000084877014,"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":0.982200026512146,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7101882100105286},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.6480038166046143},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.575883150100708},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5709255337715149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5692957043647766},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.48217979073524475},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.460492879152298},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4361402690410614},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4313432574272156},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.35638606548309326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22756588459014893},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.07635098695755005}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7101882100105286},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.6480038166046143},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.575883150100708},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5709255337715149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5692957043647766},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.48217979073524475},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.460492879152298},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4361402690410614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4313432574272156},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.35638606548309326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22756588459014893},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.07635098695755005},{"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:10.32604/cmc.2025.065972","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065972","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.065972","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.065972","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1991051899","https://openalex.org/W2010208127","https://openalex.org/W2014175286","https://openalex.org/W2038902689","https://openalex.org/W2042057184","https://openalex.org/W2059566833","https://openalex.org/W2279056033","https://openalex.org/W2471713789","https://openalex.org/W2901931945","https://openalex.org/W2930178078","https://openalex.org/W2938732013","https://openalex.org/W2978574139","https://openalex.org/W2978758473","https://openalex.org/W2983854832","https://openalex.org/W2999659334","https://openalex.org/W3021534971","https://openalex.org/W3092670634","https://openalex.org/W3114999995","https://openalex.org/W3135035191","https://openalex.org/W3162711431","https://openalex.org/W3196359481","https://openalex.org/W3204620648","https://openalex.org/W3209206097","https://openalex.org/W3209635021","https://openalex.org/W4205767413","https://openalex.org/W4223993390","https://openalex.org/W4285289751","https://openalex.org/W4292227724","https://openalex.org/W4293106341","https://openalex.org/W4293423713","https://openalex.org/W4293791337","https://openalex.org/W4294495783","https://openalex.org/W4297106221","https://openalex.org/W4302011110","https://openalex.org/W4309006760","https://openalex.org/W4367051365","https://openalex.org/W4367623763","https://openalex.org/W4384557670","https://openalex.org/W4385663624","https://openalex.org/W4385987428","https://openalex.org/W4386331841","https://openalex.org/W4386898872","https://openalex.org/W4387546269","https://openalex.org/W4388273963","https://openalex.org/W4388406434","https://openalex.org/W4390276989","https://openalex.org/W4390663528","https://openalex.org/W4390708674","https://openalex.org/W4390871518","https://openalex.org/W4393143978","https://openalex.org/W4401466714"],"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/W2161494499","https://openalex.org/W2165758382","https://openalex.org/W1971939018"],"abstract_inverted_index":{"The":[0,209],"shop":[1,33],"scheduling":[2,34],"problem":[3,35],"with":[4,36,199],"limited":[5,37,98,118],"buffers":[6,38,99],"has":[7,216],"broad":[8],"applications":[9],"in":[10,152,206],"real-world":[11],"production":[12],"scenarios,":[13],"so":[14],"this":[15],"research":[16,28],"direction":[17],"is":[18,25,68,71,111,128,146,173],"of":[19,50,76,82,96,103,117,136,192],"great":[20],"practical":[21],"significance.":[22],"However,":[23],"there":[24],"currently":[26],"little":[27],"on":[29,73,100,125,168],"the":[30,44,48,51,58,74,77,80,83,94,97,101,115,132,137,158,169,177,190,193,213],"hybrid":[31],"flow":[32],"(LBHFSP).":[39],"This":[40],"paper":[41],"deeply":[42],"investigates":[43],"LBHFSP":[45,78],"to":[46,113,130,148,175,188,222],"optimize":[47],"goal":[49],"total":[52],"completion":[53],"time.":[54],"To":[55],"better":[56],"solve":[57],"LBHFSP,":[59],"a":[60,106,141,153,163],"multi-level":[61,142],"subpopulation-based":[62],"particle":[63],"swarm":[64,87],"optimization":[65,202],"algorithm":[66],"(MLPSO)":[67],"proposed,":[69],"which":[70],"founded":[72],"attributes":[75],"and":[79,134,156,203],"shortcomings":[81],"basic":[84],"PSO":[85],"(particle":[86],"optimization)":[88],"algorithm.":[89],"In":[90],"MLPSO,":[91],"firstly,":[92],"considering":[93],"impact":[95],"process":[102],"subsequent":[104],"operations,":[105],"specific":[107],"circular":[108],"decoding":[109],"strategy":[110,123,166],"developed":[112,147],"accommodate":[114],"characteristics":[116],"buffers.":[119],"Secondly,":[120],"an":[121,217],"initialization":[122],"based":[124,167],"blocking":[126],"time":[127],"designed":[129,174],"enhance":[131,176],"quality":[133],"diversity":[135],"initial":[138],"population.":[139],"Afterward,":[140],"subpopulation":[143],"collaborative":[144],"search":[145,165],"prevent":[149],"being":[150],"trapped":[151],"local":[154,164],"optimum":[155],"improve":[157],"global":[159],"exploration":[160],"capability.":[161,181],"Additionally,":[162],"first":[170],"blocked":[171],"job":[172],"MLPSO":[178,195,215],"algorithm\u2019s":[179],"exploitation":[180],"Lastly,":[182],"numerous":[183],"experiments":[184],"are":[185],"carried":[186],"out":[187],"test":[189],"performance":[191,219],"proposed":[194,214],"by":[196],"comparing":[197],"it":[198],"classical":[200],"intelligent":[201],"popular":[204],"algorithms":[205,224],"recent":[207],"years.":[208],"results":[210],"confirm":[211],"that":[212],"outstanding":[218],"when":[220,225],"compared":[221],"other":[223],"solving":[226],"LBHFSP.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
