{"id":"https://openalex.org/W2108255155","doi":"https://doi.org/10.1109/etfa.2008.4638579","title":"Meta-heuristic approaches for a soft drink industry problem","display_name":"Meta-heuristic approaches for a soft drink industry problem","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2108255155","doi":"https://doi.org/10.1109/etfa.2008.4638579","mag":"2108255155"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2008.4638579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2008.4638579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Emerging Technologies and Factory Automation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11449/70638","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037695680","display_name":"Cl\u00e1udio Fabiano Motta Toledo","orcid":"https://orcid.org/0000-0003-4776-8052"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Claudio Fabiano Motta Toledo","raw_affiliation_strings":["Departamento de Ci\u00eancia da Computa\ue476\u00e3o, Universidade Federal de Lavras, Lavras, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancia da Computa\ue476\u00e3o, Universidade Federal de Lavras, Lavras, MG, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101283603","display_name":"Jos\u00e9 Eur\u00edpedes Ferreira de Jesus Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Euripedes Ferreira de Jesus Filho","raw_affiliation_strings":["Universidade Federal de Lavras, Departamento de Ci\u00eancia da Computa\u00e7\u00e3o C.P. 3037, CEP 37200-000, Lavras, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Lavras, Departamento de Ci\u00eancia da Computa\u00e7\u00e3o C.P. 3037, CEP 37200-000, Lavras, MG, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667991","display_name":"Paulo Morelato Fran\u00e7a","orcid":null},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Morelato Franca","raw_affiliation_strings":["Departamento de Matem\u00e0tica, Universidade Estadual Paulista, P. Prudente, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e0tica, Universidade Estadual Paulista, P. Prudente, SP, Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037695680"],"corresponding_institution_ids":["https://openalex.org/I1315085146"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.18176606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1384","last_page":"1391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9965000152587891,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9951000213623047,"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/tabu-search","display_name":"Tabu search","score":0.7340725660324097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631934642791748},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5656535029411316},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5569571256637573},{"id":"https://openalex.org/keywords/soft-drink","display_name":"Soft drink","score":0.5444943904876709},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.543609619140625},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.5413806438446045},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5293296575546265},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5283794403076172},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.5200733542442322},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48560279607772827},{"id":"https://openalex.org/keywords/soft-set","display_name":"Soft set","score":0.4704793095588684},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.45967936515808105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.291488379240036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2511735260486603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16899460554122925},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11179152131080627},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08084887266159058}],"concepts":[{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.7340725660324097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631934642791748},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5656535029411316},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5569571256637573},{"id":"https://openalex.org/C2993829149","wikidata":"https://www.wikidata.org/wiki/Q147538","display_name":"Soft drink","level":2,"score":0.5444943904876709},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.543609619140625},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.5413806438446045},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5293296575546265},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5283794403076172},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.5200733542442322},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48560279607772827},{"id":"https://openalex.org/C2777037408","wikidata":"https://www.wikidata.org/wiki/Q4310193","display_name":"Soft set","level":3,"score":0.4704793095588684},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.45967936515808105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.291488379240036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2511735260486603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16899460554122925},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11179152131080627},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08084887266159058},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/etfa.2008.4638579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2008.4638579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Emerging Technologies and Factory Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:acervodigital.unesp.br:11449/70638","is_oa":false,"landing_page_url":"http://acervodigital.unesp.br/handle/11449/70638","pdf_url":null,"source":{"id":"https://openalex.org/S4306400256","display_name":"Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210115194","host_organization_name":"Funda\u00e7\u00e3o para o Desenvolvimento da UNESP","host_organization_lineage":["https://openalex.org/I4210115194"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"outro"},{"id":"pmh:oai:repositorio.unesp.br:11449/70638","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/70638","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:repositorio.unesp.br:11449/70638","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/70638","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1974954216","https://openalex.org/W1978009882","https://openalex.org/W2002244312","https://openalex.org/W2046627541","https://openalex.org/W2060358758","https://openalex.org/W2065024613","https://openalex.org/W2069981234","https://openalex.org/W2090826610","https://openalex.org/W2116256287","https://openalex.org/W2170073424","https://openalex.org/W2205876205","https://openalex.org/W2339500526","https://openalex.org/W4212899374","https://openalex.org/W4285719527","https://openalex.org/W6687948037"],"related_works":["https://openalex.org/W2224940485","https://openalex.org/W2168643831","https://openalex.org/W2075514833","https://openalex.org/W2381791171","https://openalex.org/W4247343174","https://openalex.org/W1987877777","https://openalex.org/W2366189044","https://openalex.org/W2365741636","https://openalex.org/W2011733276","https://openalex.org/W4243489490"],"abstract_inverted_index":{"The":[0,62,86],"present":[1],"paper":[2,77],"evaluates":[3],"meta-heuristic":[4],"approaches":[5,91],"to":[6,56],"solve":[7,57],"a":[8,18,67,80],"soft":[9,23],"drink":[10,24],"industry":[11],"problem.":[12,75],"This":[13,76],"problem":[14,59],"is":[15],"motivated":[16],"by":[17],"real":[19],"situation":[20],"found":[21],"in":[22,35,39],"companies,":[25],"where":[26],"the":[27,58],"lot":[28],"sizing":[29],"and":[30,37,49],"scheduling":[31],"of":[32,69,83],"raw":[33],"materials":[34],"tanks":[36],"products":[38],"lines":[40],"must":[41],"be":[42],"simultaneously":[43],"determined.":[44],"Tabu":[45],"search,":[46],"threshold":[47],"accepting":[48],"genetic":[50],"algorithms":[51],"are":[52,64,92],"used":[53],"as":[54],"procedures":[55],"at":[60],"hand.":[61],"methods":[63],"evaluated":[65],"with":[66],"set":[68,82],"instance":[70],"already":[71],"available":[72],"for":[73],"this":[74],"also":[78],"proposes":[79],"new":[81],"complex":[84],"instances.":[85],"computational":[87],"results":[88],"comparing":[89],"these":[90],"reported.":[93]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
