{"id":"https://openalex.org/W3083390138","doi":"https://doi.org/10.1109/cec48606.2020.9185914","title":"Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks","display_name":"Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083390138","doi":"https://doi.org/10.1109/cec48606.2020.9185914","mag":"3083390138"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5101979842","display_name":"Alejandro Mart\u00edn","orcid":"https://orcid.org/0000-0002-0800-7632"},"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":"Alejandro Martin","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048392884","display_name":"Ra\u00fal Lara-Cabrera","orcid":"https://orcid.org/0000-0002-7959-1936"},"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":"Raul Lara-Cabrera","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762557","display_name":"V\u00edctor Manuel Vargas","orcid":"https://orcid.org/0000-0002-0700-275X"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victor Manuel Vargas","raw_affiliation_strings":["Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063964437","display_name":"Pedro Antonio Guti\u00e9rrez","orcid":"https://orcid.org/0000-0002-2657-776X"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Antonio Gutierrez","raw_affiliation_strings":["Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086980043","display_name":"C\u00e9sar Herv\u00e1s\u2010Mart\u00ednez","orcid":"https://orcid.org/0000-0003-4564-1816"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Cesar Hervas-Martinez","raw_affiliation_strings":["Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025314362","display_name":"David Camacho","orcid":"https://orcid.org/0000-0002-5051-3475"},"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":"David Camacho","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8125,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79313787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"117","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9933000206947327,"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/hyperparameter","display_name":"Hyperparameter","score":0.7450590133666992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220652103424072},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5952543020248413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5817447304725647},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5293524861335754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5091285109519958},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45729032158851624},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42474237084388733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3512306809425354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15007951855659485}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7450590133666992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220652103424072},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5952543020248413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817447304725647},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5293524861335754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5091285109519958},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45729032158851624},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42474237084388733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3512306809425354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15007951855659485},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1576726980","https://openalex.org/W1686810756","https://openalex.org/W1855251504","https://openalex.org/W1964002270","https://openalex.org/W1969705022","https://openalex.org/W1984397182","https://openalex.org/W1995341919","https://openalex.org/W2022290342","https://openalex.org/W2076063813","https://openalex.org/W2097998348","https://openalex.org/W2106411961","https://openalex.org/W2108604074","https://openalex.org/W2112796928","https://openalex.org/W2113207845","https://openalex.org/W2121970262","https://openalex.org/W2124290836","https://openalex.org/W2127011380","https://openalex.org/W2133218851","https://openalex.org/W2134514463","https://openalex.org/W2152899716","https://openalex.org/W2163965432","https://openalex.org/W2194775991","https://openalex.org/W2313513770","https://openalex.org/W2344075909","https://openalex.org/W2551393996","https://openalex.org/W2587014634","https://openalex.org/W2769250881","https://openalex.org/W2770298516","https://openalex.org/W2775420709","https://openalex.org/W2799899460","https://openalex.org/W2809496393","https://openalex.org/W2890952074","https://openalex.org/W2916979304","https://openalex.org/W2953384591","https://openalex.org/W2962835968","https://openalex.org/W3106064248","https://openalex.org/W4394662461","https://openalex.org/W6634627538","https://openalex.org/W6637373629","https://openalex.org/W6638929542","https://openalex.org/W6674385629","https://openalex.org/W6676179485","https://openalex.org/W6677088747","https://openalex.org/W6704744639","https://openalex.org/W6713134421","https://openalex.org/W6733065090","https://openalex.org/W6754392867","https://openalex.org/W6863618527"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"The":[0,25,204],"adjustment":[1],"of":[2,8,27,51,93,121,131,138,170,180,200,212,229],"the":[3,28,49,91,94,115,118,129,132,141,150,168,183,198,210,227,230],"hyperparameters":[4,130,181],"and":[5,41,70,128,153],"network":[6,133],"structure":[7],"Convolutional":[9],"Neural":[10],"Networks":[11],"(CNNs)":[12],"composes":[13],"an":[14,39],"important":[15],"step":[16],"towards":[17],"building":[18],"effective,":[19],"but":[20,148],"still":[21],"efficient":[22],"learning":[23],"models.":[24],"selection":[26,92],"best":[29],"configuration":[30],"is":[31,220,233],"a":[32,62,68,78,83,100,111,171,178,187,193],"problem-dependent":[33],"task":[34],"that":[35,218],"involves":[36],"to":[37,46,60,64,108,164,176,222],"explore":[38],"enormous":[40],"complex":[42,69],"search":[43,53,112],"space.":[44,73],"Due":[45],"this":[47,57],"reason,":[48],"use":[50,169],"heuristic-based":[52],"fits":[54],"perfectly":[55],"within":[56],"task,":[58],"seeking":[59],"obtain":[61],"near":[63],"optimal":[65],"solution":[66],"in":[67,99,174,186,209],"large":[71],"exploratory":[72],"This":[74,103],"paper":[75],"presents":[76],"SCRODeep,":[77],"self-adapting":[79],"algorithm":[80,88],"based":[81],"on":[82],"statistically-driven":[84],"Coral":[85],"Reef":[86],"Optimisation":[87],"(SCRO),":[89],"for":[90,214],"most":[95],"adequate":[96],"CNNs":[97,159,213],"architecture":[98,116],"particular":[101,119],"domain.":[102],"metaheuristic":[104,172],"has":[105,206],"been":[106,207],"designed":[107],"navigate":[109],"through":[110],"space":[113],"where":[114,149,167],"(defining":[117],"set":[120],"layers,":[122],"including":[123],"convolutional":[124],"or":[125,140],"pooling":[126],"layers),":[127],"(i.e.":[134,182],"activation":[135],"functions,":[136],"number":[137],"units":[139],"kernel":[142],"initializer,":[143],"among":[144],"others)":[145],"are":[146,155],"represented,":[147],"connections":[151],"weights":[152],"bias":[154],"inferred":[156],"using":[157],"typical":[158],"optimisation":[160],"algorithms.":[161],"In":[162],"contrast":[163],"other":[165],"approaches,":[166],"implies":[173],"turn":[175],"fix":[177],"series":[179],"mutation":[184],"probability":[185],"genetic":[188],"algorithm),":[189],"our":[190],"approach":[191],"follows":[192],"self-parametrisation":[194],"perspective,":[195],"thus":[196],"removing":[197],"necessity":[199],"fixing":[201],"these":[202],"values.":[203],"method":[205],"tested":[208],"design":[211],"image":[215],"classification,":[216],"showing":[217],"SCRODeep":[219],"able":[221],"find":[223],"competitive":[224],"solutions,":[225],"while":[226],"complexity":[228],"architectures":[231],"found":[232],"constrained.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
