{"id":"https://openalex.org/W2967424934","doi":"https://doi.org/10.1109/cec.2019.8789943","title":"Comparing Large-Scale Global Optimization Competition winners in a real-world problem","display_name":"Comparing Large-Scale Global Optimization Competition winners in a real-world problem","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967424934","doi":"https://doi.org/10.1109/cec.2019.8789943","mag":"2967424934"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8789943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/67063/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070068995","display_name":"Daniel Molina","orcid":"https://orcid.org/0000-0002-4175-2204"},"institutions":[{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]},{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Daniel Molina","raw_affiliation_strings":["Andalusian Institute of Data Science (DASCI) and Computational Intelligence Dept., University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Andalusian Institute of Data Science (DASCI) and Computational Intelligence Dept., University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027477467","display_name":"Arthur R. Nesterenko","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Arthur R. Nesterenko","raw_affiliation_strings":["University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030033407","display_name":"Antonio LaTorre","orcid":"https://orcid.org/0000-0002-8718-5735"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio LaTorre","raw_affiliation_strings":["Center for Computational Simulation (CCS), Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Center for Computational Simulation (CCS), Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070068995"],"corresponding_institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74914964,"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":"359","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7421400547027588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048317790031433},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6357855200767517},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.6322087645530701},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47786659002304077},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4747731387615204},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.45899444818496704},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4330636262893677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37485843896865845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2806914448738098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13384294509887695}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7421400547027588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048317790031433},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6357855200767517},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.6322087645530701},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47786659002304077},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4747731387615204},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45899444818496704},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4330636262893677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37485843896865845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2806914448738098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13384294509887695},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2019.8789943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8789943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:oa.upm.es:67063","is_oa":true,"landing_page_url":"https://oa.upm.es/67063/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC) | IEEE Congress on Evolutionary Computation (CEC 2019) | 10-13 Jun 2019 | Wellington, Nueva Zelanda","raw_type":"info:eu-repo/semantics/acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:67063","is_oa":true,"landing_page_url":"https://oa.upm.es/67063/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC) | IEEE Congress on Evolutionary Computation (CEC 2019) | 10-13 Jun 2019 | Wellington, Nueva Zelanda","raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1495940401","https://openalex.org/W1517368642","https://openalex.org/W1573534773","https://openalex.org/W1969549583","https://openalex.org/W2019646530","https://openalex.org/W2078617346","https://openalex.org/W2083206808","https://openalex.org/W2109472859","https://openalex.org/W2138588773","https://openalex.org/W2145418868","https://openalex.org/W2802050029","https://openalex.org/W2897073410","https://openalex.org/W2902101035","https://openalex.org/W6756152044"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2726551571","https://openalex.org/W2073248645","https://openalex.org/W2022485595","https://openalex.org/W3212179065","https://openalex.org/W2184070258","https://openalex.org/W2348923905"],"abstract_inverted_index":{"The":[0,128,177],"optimization":[1,126,178],"of":[2,4,59,68,83,138,161,184,228],"thousands":[3],"variables,":[5],"Large-Scale":[6],"Global":[7],"Optimization,":[8],"is":[9,14,164],"a":[10,120,181,226],"research":[11],"topic":[12],"that":[13,97],"obtaining":[15],"more":[16,18,104,242],"and":[17,25,52,134,244],"attention":[19,210],"by":[20,158],"its":[21],"applications":[22],"in":[23,50,103,115,188,241],"engineering":[24],"medical":[26],"problems.":[27,61,106],"In":[28,107,231],"order":[29],"to":[30,55,118,141,144,148,196,215,238],"design":[31],"evolutionary":[32],"algorithms":[33,63,114,163,246],"for":[34,180,247],"these":[35,74,116],"problems,":[36,192],"several":[37],"specific":[38],"competitions":[39,117],"have":[40,64],"been":[41,65],"organized,":[42],"using":[43],"benchmarks":[44,146],"such":[45],"as":[46],"the":[47,78,112,155,159,162,165,167,173,189,202,212,217,222],"ones":[48],"proposed":[49],"CEC'2010":[51],"CEC'2013,":[53],"trying":[54],"simulate":[56],"realistic":[57,105],"features":[58],"real-world":[60,121],"Several":[62],"proposed,":[66],"some":[67],"them":[69,84],"being":[70,200],"very":[71],"competitive":[72],"on":[73,88,172,211],"benchmarks,":[75,91],"especially":[76],"during":[77],"last":[79],"years.":[80],"However,":[81,205],"all":[82],"were":[85],"tested":[86],"only":[87],"those":[89],"artificial":[90],"so":[92],"there":[93],"are":[94],"no":[95],"guarantees":[96],"they":[98],"would":[99],"obtain":[100],"good":[101],"performance":[102],"this":[108,234],"paper,":[109],"we":[110,207],"select":[111],"best":[113],"optimize":[119],"problem,":[122],"an":[123,135],"electroencephalography":[124],"(EEG)":[125],"problem.":[127],"new":[129],"benchmark":[130],"contains":[131],"noisy":[132],"problems":[133],"increasing":[136],"number":[137,183],"variables":[139],"(up":[140],"5000)":[142],"compared":[143],"synthetic":[145],"(limited":[147],"1000":[149],"variables).":[150],"Results":[151],"show":[152],"that,":[153],"although":[154],"fitness":[156,185],"obtained":[157],"majority":[160],"same,":[166],"processing":[168],"time":[169,179,213],"strongly":[170],"depends":[171],"algorithm":[174,224],"under":[175],"consideration.":[176],"fixed":[182],"evaluations":[186],"varies,":[187],"most":[190],"complex":[191],"from":[193],"3":[194],"hours":[195],"around":[197],"18":[198],"minutes,":[199],"MOS-2013":[201],"fastest":[203,223],"algorithm.":[204],"if":[206],"focus":[208],"our":[209,232],"needed":[214],"reach":[216],"best-known":[218],"solution,":[219],"SHADEILS":[220],"becomes":[221],"(with":[225],"maximum":[227],"three":[229],"minutes).":[230],"opinion,":[233],"should":[235],"encourage":[236],"researchers":[237],"continue":[239],"working":[240],"scalable":[243],"efficient":[245],"large-scale":[248],"global":[249],"optimization.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}