{"id":"https://openalex.org/W3096374456","doi":"https://doi.org/10.1080/0952813x.2020.1836031","title":"A genetic algorithm for supplier selection problem under collaboration opportunities","display_name":"A genetic algorithm for supplier selection problem under collaboration opportunities","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3096374456","doi":"https://doi.org/10.1080/0952813x.2020.1836031","mag":"3096374456"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2020.1836031","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2020.1836031","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental &amp; Theoretical Artificial Intelligence","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/A5051201260","display_name":"Sihem Ben Jouida","orcid":"https://orcid.org/0000-0002-1366-5031"},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]},{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Sihem Ben Jouida","raw_affiliation_strings":["LARODEC Laboratory, Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"LARODEC Laboratory, Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210140729","https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021582108","display_name":"Saoussen Krichen","orcid":"https://orcid.org/0000-0003-0347-6808"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Saoussen Krichen","raw_affiliation_strings":["LARODEC Laboratory, Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"LARODEC Laboratory, Universit\u00e9 de Tunis, Institut Sup\u00e9rieur de Gestion de Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210140729","https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051201260"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4210140729"],"apc_list":null,"apc_paid":null,"fwci":2.5423,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90288434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"34","issue":"1","first_page":"53","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8011012077331543},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.7846822738647461},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6902151703834534},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5875163078308105},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5573267936706543},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5449212789535522},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4973028004169464},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48087409138679504},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47558677196502686},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40606755018234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1653052568435669},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.14743873476982117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12283337116241455},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09669467806816101},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09468945860862732},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08079889416694641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08001124858856201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011012077331543},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.7846822738647461},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6902151703834534},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5875163078308105},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5573267936706543},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5449212789535522},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4973028004169464},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48087409138679504},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47558677196502686},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40606755018234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1653052568435669},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.14743873476982117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12283337116241455},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09669467806816101},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09468945860862732},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08079889416694641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08001124858856201},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2020.1836031","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2020.1836031","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"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":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1528915711","https://openalex.org/W1558408774","https://openalex.org/W1584799775","https://openalex.org/W1964841666","https://openalex.org/W1965442071","https://openalex.org/W1971331599","https://openalex.org/W1972875660","https://openalex.org/W1974340099","https://openalex.org/W1975632130","https://openalex.org/W1979907267","https://openalex.org/W1986906265","https://openalex.org/W1992983421","https://openalex.org/W1995836618","https://openalex.org/W1996483892","https://openalex.org/W2013777142","https://openalex.org/W2014168449","https://openalex.org/W2022742858","https://openalex.org/W2024390183","https://openalex.org/W2026878304","https://openalex.org/W2035759654","https://openalex.org/W2040606075","https://openalex.org/W2042752551","https://openalex.org/W2050209304","https://openalex.org/W2057889989","https://openalex.org/W2062055734","https://openalex.org/W2066968933","https://openalex.org/W2073852669","https://openalex.org/W2075066618","https://openalex.org/W2075543579","https://openalex.org/W2076043359","https://openalex.org/W2079189411","https://openalex.org/W2082244854","https://openalex.org/W2082525112","https://openalex.org/W2083166183","https://openalex.org/W2083389034","https://openalex.org/W2084127891","https://openalex.org/W2087676557","https://openalex.org/W2087757078","https://openalex.org/W2097359812","https://openalex.org/W2099114633","https://openalex.org/W2102569283","https://openalex.org/W2118127878","https://openalex.org/W2126150045","https://openalex.org/W2137339089","https://openalex.org/W2139042266","https://openalex.org/W2145455869","https://openalex.org/W2159191017","https://openalex.org/W2171330821","https://openalex.org/W2347067948","https://openalex.org/W2487574124","https://openalex.org/W2525449817","https://openalex.org/W2525657528","https://openalex.org/W2558746526","https://openalex.org/W2591629780","https://openalex.org/W2776017356","https://openalex.org/W2787015425","https://openalex.org/W2894735111","https://openalex.org/W2971268466","https://openalex.org/W3045254453","https://openalex.org/W3125415792","https://openalex.org/W4230846739","https://openalex.org/W4237027202","https://openalex.org/W4238689660","https://openalex.org/W4239179583","https://openalex.org/W4248841288","https://openalex.org/W4376571587"],"related_works":["https://openalex.org/W2351217280","https://openalex.org/W2086836292","https://openalex.org/W2354083748","https://openalex.org/W2357949222","https://openalex.org/W2338005294","https://openalex.org/W2954733677","https://openalex.org/W2033865166","https://openalex.org/W2393625522","https://openalex.org/W1575721881","https://openalex.org/W2104192539"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4,80],"a":[5,23,32,42,56,72,90,100,156,165,229],"collaborative":[6,86,95,203],"model":[7,113],"for":[8,12,31],"the":[9,13,17,63,66,76,81,104,126,133,139,169,172,176,180,184,202,209,217],"supplier":[10,193],"selection":[11,194],"purchasing":[14],"activity":[15,178],"in":[16,62,174,190,199,228],"supply":[18,181],"chain.":[19],"The":[20,94,150,212],"problem":[21,152],"addresses":[22],"set":[24,43],"of":[25,44,68,84,116,171,186],"firms":[26,117],"that":[27,65,198,216],"try":[28],"to":[29,36,112,119,125,144,147,223],"look":[30],"cost":[33,73],"saving":[34],"configuration":[35],"optimise":[37],"their":[38,69],"ordering":[39,87,177],"plans,":[40],"given":[41],"suppliers":[45],"with":[46],"quantity":[47],"discounts":[48],"options.":[49],"Possible":[50],"collaborations":[51],"between":[52],"firms,":[53],"modelled":[54,88],"as":[55,89,99],"coalition":[57,122],"formation,":[58],"can":[59],"be":[60],"beneficial":[61],"sense":[64],"gathering":[67],"orders":[70],"generates":[71],"minimisation":[74],"regarding":[75,208,233],"stand-alone":[77,210],"situation.":[78],"We":[79,196],"mathematical":[82],"formulation":[83],"firms\u2019":[85],"cost-dependent":[91],"assignment":[92,151],"problem.":[93],"scenario":[96,204],"is":[97,107,142,153,205,221],"viewed":[98],"two":[101],"independent":[102],"steps:":[103],"first":[105],"step":[106,135],"based":[108],"on":[109,138,164],"game-theoretic":[110],"approach":[111],"possible":[114],"coalitions":[115,130,146],"and":[118,183],"generate":[120,224],"stable":[121],"structures":[123],"according":[124],"core":[127],"concept.":[128],"Once":[129],"are":[131],"formed,":[132],"second":[134],"consists":[136],"mainly":[137],"genetic":[140,160,188,219],"algorithm":[141,189,220],"trigged":[143],"assign":[145],"shared":[148],"suppliers.":[149],"solved":[154],"using":[155],"specifically":[157],"designed":[158],"hybrid":[159,187,218],"algorithm.":[161],"Experiments,":[162],"driven":[163],"large":[166],"test-bed,":[167],"highlight":[168],"effectiveness":[170],"collaboration":[173],"handling":[175],"within":[179],"chain":[182],"usefulness":[185],"solving":[191],"such":[192],"problems.":[195],"show":[197,215],"all":[200],"cases":[201],"more":[206],"profitable":[207],"position.":[211],"obtained":[213],"results":[214],"able":[222],"good":[225],"quality":[226],"solutions":[227],"reasonable":[230],"run":[231],"time":[232],"Cplex":[234],"results.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
