{"id":"https://openalex.org/W3090539763","doi":"https://doi.org/10.1109/coase.2018.8560396","title":"An Improved Differential Evolution Algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem","display_name":"An Improved Differential Evolution Algorithm for Solving a Distributed Flexible Job Shop Scheduling Problem","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W3090539763","doi":"https://doi.org/10.1109/coase.2018.8560396","mag":"3090539763"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2018.8560396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2018.8560396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","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/A5102942965","display_name":"Xiuli Wu","orcid":"https://orcid.org/0000-0002-8245-3526"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wu Xiuli","raw_affiliation_strings":["Department of Logistics Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021984786","display_name":"Xiajing Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Xiajing","raw_affiliation_strings":["Department of Logistics Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102942965"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69680006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"968","last_page":"973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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":1.0,"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":0.9990000128746033,"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":0.9954000115394592,"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/job-shop-scheduling","display_name":"Job shop scheduling","score":0.8197439908981323},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6968688368797302},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6943524479866028},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6529983282089233},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6338105201721191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245269775390625},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.6231112480163574},{"id":"https://openalex.org/keywords/tournament-selection","display_name":"Tournament selection","score":0.5086708664894104},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45598462224006653},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.44995740056037903},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43780121207237244},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.41065359115600586},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3704173266887665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28391343355178833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19168514013290405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1381129026412964}],"concepts":[{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.8197439908981323},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6968688368797302},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6943524479866028},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6529983282089233},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6338105201721191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245269775390625},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.6231112480163574},{"id":"https://openalex.org/C165661538","wikidata":"https://www.wikidata.org/wiki/Q7829327","display_name":"Tournament selection","level":3,"score":0.5086708664894104},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45598462224006653},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.44995740056037903},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43780121207237244},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.41065359115600586},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3704173266887665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28391343355178833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19168514013290405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1381129026412964},{"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/coase.2018.8560396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2018.8560396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1987790292","https://openalex.org/W2028904348","https://openalex.org/W2048490243","https://openalex.org/W2108068825","https://openalex.org/W2144771500","https://openalex.org/W2146898501","https://openalex.org/W2155791680","https://openalex.org/W2402514824","https://openalex.org/W2516767931","https://openalex.org/W2532783040","https://openalex.org/W2552076416","https://openalex.org/W2590576648"],"related_works":["https://openalex.org/W2025157869","https://openalex.org/W2161410550","https://openalex.org/W2074650926","https://openalex.org/W2087693503","https://openalex.org/W2031676021","https://openalex.org/W2090045937","https://openalex.org/W1988229514","https://openalex.org/W2163588069","https://openalex.org/W3109838862","https://openalex.org/W45466894"],"abstract_inverted_index":{"The":[0,27,81],"single-factory":[1],"manufacturing":[2],"is":[3,24,35,47,62,73,84],"gradually":[4],"transiting":[5],"to":[6,15,49,75,86],"the":[7,12,17,51,78,88,91,97,101,106],"multi-factory":[8],"collaborative":[9,18],"production":[10,19],"under":[11],"globalization.":[13],"How":[14],"schedule":[16],"among":[20],"multiple":[21],"factories":[22],"effectively":[23,108],"extremely":[25],"urgent.":[26],"distributed":[28],"flexible":[29],"job":[30],"shop":[31],"scheduling":[32],"problem":[33],"(DFJSP)":[34],"studied.":[36],"To":[37],"begin":[38],"with,":[39],"a":[40],"DFJSP":[41,107],"mixed":[42],"integer":[43],"linear":[44],"programming":[45],"model":[46],"formulated":[48],"minimize":[50],"makespan.":[52],"Then,":[53],"an":[54],"improved":[55],"differential":[56],"evolution":[57],"simulated":[58],"annealing":[59,72],"algorithm":[60,103],"(IDESAA)":[61],"proposed.":[63],"Two":[64],"crossover":[65],"and":[66,96,109],"mutation":[67],"operators":[68],"are":[69,94],"designed.":[70],"Simulated":[71],"integrated":[74],"local":[76],"search":[77],"best":[79],"solution(s).":[80],"tournament":[82],"selection":[83],"employed":[85],"select":[87],"offspring.":[89],"Finally,":[90],"numerical":[92],"experiments":[93],"conducted":[95],"results":[98],"show":[99],"that":[100],"proposed":[102],"can":[104],"solve":[105],"efficiently.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2025-10-10T00:00:00"}
