{"id":"https://openalex.org/W2555500025","doi":"https://doi.org/10.1109/isncc.2016.7746115","title":"A genetic algorithm for the permutation flow shop-problem: A parametric study","display_name":"A genetic algorithm for the permutation flow shop-problem: A parametric study","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2555500025","doi":"https://doi.org/10.1109/isncc.2016.7746115","mag":"2555500025"},"language":"en","primary_location":{"id":"doi:10.1109/isncc.2016.7746115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2016.7746115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5084231941","display_name":"Samia Kouki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145739","display_name":"Time Universit\u00e9","ror":"https://ror.org/03y2yf271","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210145739"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Samia Kouki","raw_affiliation_strings":["Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210145739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059391889","display_name":"Manel Guenaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145739","display_name":"Time Universit\u00e9","ror":"https://ror.org/03y2yf271","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210145739"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Manel Guenaoui","raw_affiliation_strings":["Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210145739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062847316","display_name":"Mohamed Jemni","orcid":"https://orcid.org/0000-0001-8841-5224"},"institutions":[{"id":"https://openalex.org/I4210145739","display_name":"Time Universit\u00e9","ror":"https://ror.org/03y2yf271","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210145739"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Jemni","raw_affiliation_strings":["Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory LaTICE, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210145739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084231941"],"corresponding_institution_ids":["https://openalex.org/I4210145739"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7962963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9883999824523926,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9883000254631042,"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/crossover","display_name":"Crossover","score":0.7206342220306396},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7190868854522705},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6755075454711914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6312651634216309},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.608216404914856},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5633481740951538},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5417400598526001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4893614649772644},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4573589563369751},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.44563719630241394},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.44555240869522095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24016287922859192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15738141536712646},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.15298035740852356}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7206342220306396},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7190868854522705},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6755075454711914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312651634216309},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.608216404914856},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5633481740951538},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5417400598526001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4893614649772644},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4573589563369751},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.44563719630241394},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.44555240869522095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24016287922859192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15738141536712646},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.15298035740852356},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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:10.1109/isncc.2016.7746115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2016.7746115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W54998723","https://openalex.org/W807426715","https://openalex.org/W1248696213","https://openalex.org/W1497256448","https://openalex.org/W1502761295","https://openalex.org/W1513155634","https://openalex.org/W1539694548","https://openalex.org/W1553010236","https://openalex.org/W1566803874","https://openalex.org/W1568834902","https://openalex.org/W1984701290","https://openalex.org/W1987822801","https://openalex.org/W1988714922","https://openalex.org/W1993433489","https://openalex.org/W1997555596","https://openalex.org/W2004512235","https://openalex.org/W2026541491","https://openalex.org/W2030463632","https://openalex.org/W2032257665","https://openalex.org/W2036542894","https://openalex.org/W2068610773","https://openalex.org/W2090069860","https://openalex.org/W2092732888","https://openalex.org/W2097316707","https://openalex.org/W2118371226","https://openalex.org/W2122967269","https://openalex.org/W2142739364","https://openalex.org/W2149027038","https://openalex.org/W2157846217","https://openalex.org/W2185742736","https://openalex.org/W2211161721","https://openalex.org/W2217456400","https://openalex.org/W2554861846","https://openalex.org/W4242887148","https://openalex.org/W6628249391","https://openalex.org/W6633859084","https://openalex.org/W6686204075"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W4299389082","https://openalex.org/W1943663474","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1978349322","https://openalex.org/W2014162767","https://openalex.org/W2115729582","https://openalex.org/W2046083801","https://openalex.org/W2367260997"],"abstract_inverted_index":{"In":[0,15,34,83],"this":[1,35,47,84],"paper,":[2],"the":[3,24,93,101,113,121,127,131],"Permutation":[4],"Flow":[5],"Shop":[6],"Problem":[7],"(PFSP)":[8,69],"with":[9,107,117],"total":[10],"completion":[11],"time":[12],"is":[13,89,105],"studied.":[14],"previous":[16],"papers,":[17],"we":[18,37],"proposed":[19,128],"parallel":[20],"algorithms":[21],"to":[22,45,91,99],"solve":[23,46,100],"PFSP":[25],"based":[26,41],"on":[27,42],"load":[28],"balancing":[29],"Branch":[30],"and":[31,112],"Bound":[32],"approach.":[33],"work,":[36],"propose":[38],"other":[39],"alternatives":[40],"Genetic":[43],"Algorithms":[44],"problem.":[48],"However,":[49],"using":[50],"efficiently":[51],"genetic":[52,77],"algorithm":[53],"(GA)":[54],"involves":[55],"a":[56,86],"complex":[57],"interaction":[58],"among":[59],"its":[60],"parameters.":[61],"Therefore,":[62],"finding":[63,136],"good":[64],"solutions":[65],"for":[66],"NP-hard":[67],"problems":[68],"cannot":[70],"be":[71],"guaranteed":[72],"without":[73],"proper":[74],"setting":[75,95],"of":[76,96,130],"parameters":[78,98],"(selection,":[79],"crossover,":[80],"mutation,":[81],"etc.).":[82],"context,":[85],"parametric":[87],"study":[88,104],"presented":[90],"select":[92],"best":[94],"GA":[97,132],"PSFP.":[102],"Our":[103],"completed":[106],"an":[108],"extensive":[109],"computational":[110],"experiment,":[111],"results":[114,124],"are":[115,133],"compared":[116],"known":[118],"works":[119],"in":[120,135],"literature.":[122],"The":[123],"indicate":[125],"that":[126],"settings":[129],"efficient":[134],"better":[137],"quality":[138],"solutions.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
