{"id":"https://openalex.org/W2887730949","doi":"https://doi.org/10.1080/00207543.2018.1504251","title":"An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time","display_name":"An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time","publication_year":2018,"publication_date":"2018-08-06","ids":{"openalex":"https://openalex.org/W2887730949","doi":"https://doi.org/10.1080/00207543.2018.1504251","mag":"2887730949"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2018.1504251","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1504251","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-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/A5057411299","display_name":"Enda Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En-da Jiang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-9378-1464","affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398661","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0001-8964-6454"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Wang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-8964-6454","affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, People\u2019s Republic of China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100398661"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":13.6246,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.98982783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"6","first_page":"1756","last_page":"1771"},"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":0.9993000030517578,"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":0.9976999759674072,"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":0.7627708911895752},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.7491725087165833},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6655483245849609},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6341041922569275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665689706802368},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5659096240997314},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5000982284545898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4286474585533142},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4252700209617615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22683581709861755},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.06997263431549072}],"concepts":[{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.7627708911895752},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.7491725087165833},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6655483245849609},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6341041922569275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665689706802368},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5659096240997314},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5000982284545898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4286474585533142},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4252700209617615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22683581709861755},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.06997263431549072},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2018.1504251","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1504251","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:57:y:2019:i:6:p:1756-1771","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2018.1504251","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W826685547","https://openalex.org/W2001612470","https://openalex.org/W2015636367","https://openalex.org/W2017299308","https://openalex.org/W2021589634","https://openalex.org/W2030027510","https://openalex.org/W2090069860","https://openalex.org/W2092104277","https://openalex.org/W2111079092","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2146219471","https://openalex.org/W2165171393","https://openalex.org/W2176672951","https://openalex.org/W2210651294","https://openalex.org/W2215529188","https://openalex.org/W2405534122","https://openalex.org/W2460701422","https://openalex.org/W2483122450","https://openalex.org/W2519112510","https://openalex.org/W2532427336","https://openalex.org/W2549540100","https://openalex.org/W2568704089","https://openalex.org/W2604573531","https://openalex.org/W2616713676","https://openalex.org/W2626429397","https://openalex.org/W2743873557","https://openalex.org/W2747561859","https://openalex.org/W2751499904","https://openalex.org/W2793006007","https://openalex.org/W2962202409","https://openalex.org/W4206422821","https://openalex.org/W4237954928","https://openalex.org/W4247245376"],"related_works":["https://openalex.org/W187987682","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/W1971939018","https://openalex.org/W3155166764","https://openalex.org/W2140584489"],"abstract_inverted_index":{"With":[0,98],"the":[1,32,49,77,101,118,122,126,129,159,189,196],"increasing":[2],"attention":[3],"on":[4,94],"environment":[5],"issues,":[6],"green":[7,71],"scheduling":[8,21,26,54],"in":[9,185],"manufacturing":[10,165],"industry":[11],"has":[12,27,43],"been":[13],"a":[14,19,84,111,163],"hot":[15],"research":[16],"topic.":[17],"As":[18],"typical":[20],"problem,":[22,130],"permutation":[23,51],"flow":[24,52],"shop":[25,53],"gained":[28],"deep":[29],"research,":[30],"but":[31],"practical":[33],"case":[34],"that":[35,176],"considers":[36],"both":[37,62,161],"setup":[38,58,140],"and":[39,67,167,180,188],"transportation":[40],"times":[41,141],"still":[42],"rare":[44],"research.":[45],"This":[46],"paper":[47],"addresses":[48],"energy-efficient":[50],"problem":[55,78,86,102],"with":[56,137,170],"sequence-dependent":[57],"time":[59],"to":[60,116,121,133,148],"minimise":[61],"makespan":[63],"as":[64,70],"economic":[65],"objective":[66],"energy":[68],"consumption":[69],"objective.":[72],"The":[73,173],"mathematical":[74],"model":[75],"of":[76,128],"is":[79,96,103,114,192],"formulated.":[80],"To":[81],"solve":[82],"such":[83],"bi-objective":[85],"effectively,":[87],"an":[88],"improved":[89],"multi-objective":[90],"evolutionary":[91],"algorithm":[92,191],"based":[93],"decomposition":[95,99],"proposed.":[97],"strategy,":[100],"decomposed":[104],"into":[105],"several":[106],"sub-problems.":[107,123],"In":[108],"each":[109],"generation,":[110],"dynamic":[112,177],"strategy":[113,179],"designed":[115],"mate":[117],"solutions":[119,136],"corresponding":[120],"After":[124],"analysing":[125],"properties":[127],"two":[131],"heuristics":[132],"generate":[134],"new":[135],"smaller":[138],"total":[139],"are":[142,154,183],"proposed":[143,190],"for":[144],"designing":[145],"local":[146,181],"intensification":[147,182],"improve":[149],"exploitation":[150],"ability.":[151],"Computational":[152],"tests":[153],"carried":[155],"out":[156],"by":[157],"using":[158],"instances":[160],"from":[162],"real-world":[164],"enterprise":[166],"generated":[168],"randomly":[169],"larger":[171],"sizes.":[172],"comparisons":[174],"show":[175],"mating":[178],"effective":[184,194],"improving":[186],"performances":[187],"more":[193],"than":[195],"existing":[197],"algorithms.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
