{"id":"https://openalex.org/W2730997642","doi":"https://doi.org/10.1109/cec.2017.7969426","title":"On the scalability of population restart mechanisms on large-scale global optimization","display_name":"On the scalability of population restart mechanisms on large-scale global optimization","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2730997642","doi":"https://doi.org/10.1109/cec.2017.7969426","mag":"2730997642"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","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/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":true,"raw_author_name":"Antonio LaTorre","raw_affiliation_strings":["Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid"],"affiliations":[{"raw_affiliation_string":"Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064290966","display_name":"Jos\u00e9-Mar\u00eda Pe\u00f1a","orcid":"https://orcid.org/0000-0002-3303-0455"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"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","GB"],"is_corresponding":false,"raw_author_name":"Jose-Maria Pena","raw_affiliation_strings":["Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid","Department of Engineering Sciences, University of Oxford, Oxford, UK","Lurtis Ltd., Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Center for Computational Simulation, Universidad Polit\u00e9cnica de Madrid","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Department of Engineering Sciences, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Lurtis Ltd., Oxford, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030033407"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60907312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1071","last_page":"1078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9878000020980835,"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":0.9851999878883362,"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/scalability","display_name":"Scalability","score":0.8311828374862671},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7784697413444519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778533697128296},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6839379668235779},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6769253015518188},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.5883848071098328},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.54502272605896},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5233606100082397},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5071537494659424},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4683759808540344},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4525834321975708},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43577840924263},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3737155497074127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2370108664035797},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.22841978073120117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22401565313339233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15114179253578186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0999663770198822},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06427299976348877}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8311828374862671},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7784697413444519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778533697128296},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6839379668235779},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6769253015518188},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.5883848071098328},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.54502272605896},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5233606100082397},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5071537494659424},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4683759808540344},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4525834321975708},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43577840924263},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3737155497074127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2370108664035797},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.22841978073120117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22401565313339233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15114179253578186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0999663770198822},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06427299976348877},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2017.7969426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W169847450","https://openalex.org/W1491554143","https://openalex.org/W1503296932","https://openalex.org/W1532179194","https://openalex.org/W1538237995","https://openalex.org/W1587009118","https://openalex.org/W1606824070","https://openalex.org/W1779658280","https://openalex.org/W1810942429","https://openalex.org/W1834614309","https://openalex.org/W1850078733","https://openalex.org/W1978251559","https://openalex.org/W1983947028","https://openalex.org/W1989199137","https://openalex.org/W2018188932","https://openalex.org/W2074989606","https://openalex.org/W2077621440","https://openalex.org/W2078617346","https://openalex.org/W2078702416","https://openalex.org/W2110683677","https://openalex.org/W2132189459","https://openalex.org/W2156773695","https://openalex.org/W2168427112","https://openalex.org/W2175757837","https://openalex.org/W2204311092","https://openalex.org/W2219770205","https://openalex.org/W6607018677","https://openalex.org/W6629703172","https://openalex.org/W6636251946","https://openalex.org/W6638285868"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W4285042611","https://openalex.org/W1509300825","https://openalex.org/W2367365720","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Population":[0],"restart":[1,38,51,76],"mechanisms":[2,20],"are":[3,59],"a":[4,70,95,134],"popular":[5],"method":[6,58],"to":[7,33,151],"avoid":[8],"premature":[9],"convergence":[10],"in":[11,21,24,62,104],"Evolutionary":[12],"Algorithms.":[13],"Many":[14],"different":[15,25,115],"methods":[16],"have":[17],"used":[18],"these":[19,30],"the":[22,41,46,49,54,57,63,83,88,91,105,137,142,145,154,158],"past":[23],"scenarios.":[26],"However,":[27],"most":[28],"of":[29,48,56,73,85,97,144,157],"works":[31],"tend":[32],"design":[34],"an":[35,112],"ad-hoc":[36],"population":[37,75],"approach":[39],"for":[40,82],"problem":[42,116,159],"under":[43],"consideration.":[44],"Furthermore,":[45],"effects":[47],"alternative":[50],"strategies":[52,77],"and":[53,109,141],"scalability":[55],"rarely":[60],"analyzed":[61],"literature.":[64],"In":[65],"this":[66,148],"paper,":[67],"we":[68,80],"conduct":[69],"comparative":[71],"study":[72],"36":[74],"(37":[78],"if":[79],"account":[81],"baseline":[84],"not":[86,120],"restarting":[87],"population)":[89],"on":[90],"SOCO":[92],"2011":[93],"benchmark,":[94],"testbed":[96],"19":[98],"continuous":[99,106],"scalable":[100],"functions":[101],"widely":[102],"accepted":[103],"optimisation":[107],"community":[108],"that":[110,131],"allow":[111],"analysis":[113],"at":[114],"sizes":[117],"which":[118],"is":[119,133],"possible":[121],"with":[122],"other":[123],"existing":[124],"benchmarks.":[125],"The":[126],"results":[127],"obtained":[128],"clearly":[129],"show":[130],"there":[132],"relationship":[135],"between":[136],"particular":[138],"strategy":[139],"considered":[140],"effectiveness":[143,149],"method.":[146],"Moreover,":[147],"tends":[150],"decrease":[152],"as":[153],"dimensionality":[155],"(complexity)":[156],"grows.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}