{"id":"https://openalex.org/W4285333996","doi":"https://doi.org/10.1109/la-cci48322.2021.9769787","title":"Evolutionary multi-objective algorithms for feed resource allocation in dairy systems","display_name":"Evolutionary multi-objective algorithms for feed resource allocation in dairy systems","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W4285333996","doi":"https://doi.org/10.1109/la-cci48322.2021.9769787"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci48322.2021.9769787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5083073208","display_name":"Gast\u00f3n Notte","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gaston Notte","raw_affiliation_strings":["CENUR Litoral Norte, UdelaR,Departamento de Ingeniería Biológica,Paysandú,Uruguay"],"affiliations":[{"raw_affiliation_string":"CENUR Litoral Norte, UdelaR,Departamento de Ingeniería Biológica,Paysandú,Uruguay","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053814141","display_name":"P. Chilibroste","orcid":"https://orcid.org/0000-0001-9579-9967"},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Pablo Chilibroste","raw_affiliation_strings":["UdelaR,Facultad de Agronomía,Montevideo,Uruguay"],"affiliations":[{"raw_affiliation_string":"UdelaR,Facultad de Agronomía,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091770128","display_name":"Mart\u00edn Pedemonte","orcid":"https://orcid.org/0000-0002-8348-0921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Pedemonte","raw_affiliation_strings":["UdelaR,Facultad de Ingeniería,Montevideo,Uruguay"],"affiliations":[{"raw_affiliation_string":"UdelaR,Facultad de Ingeniería,Montevideo,Uruguay","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023945983","display_name":"H\u00e9ctor Cancela","orcid":"https://orcid.org/0000-0001-5015-0988"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hector Cancela","raw_affiliation_strings":["UdelaR,Facultad de Ingeniería,Montevideo,Uruguay"],"affiliations":[{"raw_affiliation_string":"UdelaR,Facultad de Ingeniería,Montevideo,Uruguay","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083073208"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27049327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7223363518714905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6948889493942261},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6335145235061646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.609535276889801},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5754705667495728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.497029572725296},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4943721294403076},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44572344422340393},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.44361549615859985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4435507655143738},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4197770953178406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2497349977493286}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7223363518714905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6948889493942261},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6335145235061646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609535276889801},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5754705667495728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.497029572725296},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4943721294403076},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44572344422340393},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.44361549615859985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4435507655143738},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4197770953178406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2497349977493286},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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:10.1109/la-cci48322.2021.9769787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W1544309315","https://openalex.org/W1559956479","https://openalex.org/W1585939719","https://openalex.org/W1595498733","https://openalex.org/W1659842140","https://openalex.org/W2000825106","https://openalex.org/W2052041389","https://openalex.org/W2056594784","https://openalex.org/W2074128930","https://openalex.org/W2106334424","https://openalex.org/W2116661285","https://openalex.org/W2126105956","https://openalex.org/W2151609859","https://openalex.org/W2164077008","https://openalex.org/W2167159964","https://openalex.org/W3023540311","https://openalex.org/W3025532991","https://openalex.org/W4243601689","https://openalex.org/W6635097213"],"related_works":["https://openalex.org/W2394392475","https://openalex.org/W2079483465","https://openalex.org/W2069937987","https://openalex.org/W2107894985","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2911471039","https://openalex.org/W2021957875","https://openalex.org/W2015132550"],"abstract_inverted_index":{"In":[0,87,126],"grassland-based":[1],"dairy":[2,124,154],"systems,":[3],"determining":[4],"how":[5,14],"to":[6,17,24,57,77,139],"rotate":[7],"the":[8,20,33,36,39,49,54,58,63,102,115,131,144,148,178,215,220,223,227,232,238],"cows":[9],"among":[10],"fields":[11],"for":[12,119,231],"grazing,":[13],"much":[15],"concentrate":[16],"supply":[18],"and":[19,161,163,170,205],"correct":[21],"stocking":[22],"rate":[23],"be":[25],"used":[26],"are":[27],"important":[28],"decisions":[29],"that":[30,219,225],"impact":[31],"on":[32,183,210],"efficiency":[34],"of":[35,41,52,61,70,84,91,112,134,143,147,246],"system.":[37],"Considering":[38],"presence":[40],"conflictive":[42],"objectives,":[43],"a":[44,81,89,171,242],"multi-objective":[45,71,92,136],"approach":[46],"is":[47,74,108,114,222],"therefore":[48],"natural":[50],"way":[51],"facing":[53],"problem.":[55],"Due":[56],"computational":[59,249],"difficulty":[60],"finding":[62],"full":[64],"solution":[65],"set":[66],"(the":[67],"Pareto":[68,145,202],"front)":[69],"models,":[72],"it":[73],"usually":[75],"necessary":[76],"employ":[78],"algorithms":[79,94,138,159,168],"giving":[80],"good":[82],"approximation":[83,142,206],"this":[85,127],"set.":[86],"particular,":[88],"number":[90],"evolutionary":[93,137],"with":[95],"different":[96,212],"characteristics":[97],"have":[98],"been":[99],"proposed":[100],"in":[101,123,153],"general":[103],"optimization":[104],"literature;":[105],"but":[106,236],"there":[107],"no":[109],"current":[110],"study":[111],"which":[113],"most":[116],"appropriate":[117],"one":[118],"feed":[120,149],"resource":[121,150],"allocation":[122,151],"systems.":[125,155],"work,":[128],"we":[129,217],"present":[130],"performance":[132,230],"evaluation":[133],"four":[135,211],"generate":[140],"an":[141],"front":[146,203],"problem":[152,233],"Two":[156],"classical":[157],"genetic":[158],"(NSGA-II":[160],"SPEA-2)":[162],"two":[164,180],"differential":[165],"evolution":[166],"(DE)":[167],"(GDE-3":[169],"Pareto-based":[172],"DE)":[173],"were":[174,189],"used.":[175],"To":[176],"evaluate":[177],"algorithms,":[179],"experiments":[181],"based":[182,209],"scenarios":[184],"constructed":[185],"from":[186],"real":[187],"data":[188],"performed.":[190],"The":[191],"comparison":[192],"took":[193],"into":[194],"account":[195],"running":[196],"times,":[197],"objective":[198],"function":[199],"values":[200],"attained,":[201],"comparisons,":[204],"quality":[207,229],"measures":[208],"metrics.":[213],"From":[214],"results":[216],"conclude":[218],"SPEA-2":[221],"algorithm":[224],"obtains":[226],"best":[228],"under":[234],"study,":[235],"also":[237],"slowest":[239],"one,":[240],"opening":[241],"future":[243],"work":[244],"opportunity":[245],"improving":[247],"its":[248],"performance.":[250]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}