{"id":"https://openalex.org/W4200465661","doi":"https://doi.org/10.3233/jifs-210224","title":"Flexible open-shop problem for minimizing weighted total completion time","display_name":"Flexible open-shop problem for minimizing weighted total completion time","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4200465661","doi":"https://doi.org/10.3233/jifs-210224"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210224","doi":"https://doi.org/10.3233/jifs-210224","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210224","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5000628906","display_name":"Iman Khosravi Mashizi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210152146","display_name":"Islamic Azad University Kerman","ror":"https://ror.org/04ywz9252","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210152146"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Iman Khosravi Mashizi","raw_affiliation_strings":["Department of Mathematics, Kerman Branch, IslamicAzad University, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Kerman Branch, IslamicAzad University, Kerman, Iran","institution_ids":["https://openalex.org/I4210152146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074797646","display_name":"Vahid Momenaei Kermani","orcid":"https://orcid.org/0000-0003-0359-7458","observed_orcids":["https://orcid.org/0000-0003-0359-7458","https://orcid.org/0000-0003-3594-9286"]},"institutions":[{"id":"https://openalex.org/I4210152146","display_name":"Islamic Azad University Kerman","ror":"https://ror.org/04ywz9252","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210152146"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Vahid Momenaei Kermani","raw_affiliation_strings":["Department of Mathematics, Kerman Branch, IslamicAzad University, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Kerman Branch, IslamicAzad University, Kerman, Iran","institution_ids":["https://openalex.org/I4210152146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065229167","display_name":"Naser Shahsavari-Pour","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3020488725","display_name":"Vali Asr University of Rafsanjan","ror":"https://ror.org/056xnk046","country_code":"IR","type":"education","lineage":["https://openalex.org/I3020488725"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Naser Shahsavari-Pour","raw_affiliation_strings":["Department of Industrial Management, Vali-e-asr University, Rafsanjan, Iran","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, Vali-e-asr University, Rafsanjan, Iran","institution_ids":["https://openalex.org/I3020488725"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074797646"],"corresponding_institution_ids":["https://openalex.org/I4210152146"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.1081,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43180528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"42","issue":"3","first_page":"1353","last_page":"1366"},"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":0.0,"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identical-machines","display_name":"identical machines","score":0.6819999814033508},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"hybrid genetic algorithm","score":0.8939999938011169},{"id":"https://openalex.org/keywords/mutation-operator","display_name":"mutation operator","score":0.4390000104904175},{"id":"https://openalex.org/keywords/np-hard-scheduling-problems","display_name":"NP-hard scheduling","score":0.6840000152587891},{"id":"https://openalex.org/keywords/mathematical-model","display_name":"mathematical model","score":0.5230000019073486}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.87018221616745},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7122567892074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6716848611831665},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6094036102294922},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.59077388048172},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5881627798080444},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4703904390335083},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.3394933044910431},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3321422040462494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24327406287193298},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08164399862289429},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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:10.3233/jifs-210224","doi":"https://doi.org/10.3233/jifs-210224","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210224","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W659473080","https://openalex.org/W1973445991","https://openalex.org/W2008434012","https://openalex.org/W2012827908","https://openalex.org/W2039632218","https://openalex.org/W2093824221","https://openalex.org/W2172122411","https://openalex.org/W2189731345","https://openalex.org/W2763475247","https://openalex.org/W2953664585","https://openalex.org/W3138537503","https://openalex.org/W4253030580"],"related_works":["https://openalex.org/W2039632218","https://openalex.org/W2338595229","https://openalex.org/W2361904286","https://openalex.org/W2997912173","https://openalex.org/W2017871382","https://openalex.org/W7096627278","https://openalex.org/W3156416754","https://openalex.org/W1989495531","https://openalex.org/W2061005265","https://openalex.org/W3003813206"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"scheduling":[3],"flexible":[4],"open":[5],"shops":[6],"with":[7,84],"identical":[8],"machines":[9],"in":[10,76,94,114],"each":[11],"station":[12],"is":[13,19,60,69,82],"studied.":[14],"A":[15],"new":[16,79],"mathematical":[17],"model":[18],"offered":[20],"to":[21,43,104],"describe":[22],"the":[23,27,30,54,78,85,95,105,107,115],"overall":[24],"performance":[25,116],"of":[26,73,98,117],"system.":[28],"Since":[29],"problem":[31],"enjoys":[32],"an":[33],"NP-hard":[34],"complexity":[35],"structure,":[36],"we":[37],"used":[38],"two":[39],"distinct":[40],"metaheuristic":[41],"methods":[42],"achieve":[44],"acceptable":[45],"solutions":[46,91],"for":[47],"minimizing":[48],"weighted":[49],"total":[50],"completion":[51],"time":[52],"as":[53],"objective":[55],"function.":[56],"The":[57,65],"first":[58],"method":[59],"customary":[61],"memetic":[62,74],"algorithm":[63,75],"(MA).":[64],"second":[66],"one,":[67],"MPA,":[68],"a":[70,111],"modified":[71],"version":[72],"which":[77],"permutating":[80],"operation":[81],"replaced":[83],"mutation.":[86],"Furthermore,":[87],"some":[88],"predefined":[89],"feasible":[90],"were":[92],"imposed":[93],"initial":[96],"population":[97],"both":[99],"MA":[100],"and":[101],"MPA.":[102],"According":[103],"results,":[106],"latter":[108],"action":[109],"caused":[110],"remarkable":[112],"improvement":[113],"algorithms.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-31T00:00:00"}