{"id":"https://openalex.org/W3015247165","doi":"https://doi.org/10.1109/access.2020.2986398","title":"A Collective Intelligence Based Differential Evolution Algorithm for Optimizing the Structure and Parameters of a Neural Network","display_name":"A Collective Intelligence Based Differential Evolution Algorithm for Optimizing the Structure and Parameters of a Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015247165","doi":"https://doi.org/10.1109/access.2020.2986398","mag":"3015247165"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2986398","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2986398","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09058659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09058659.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065698098","display_name":"Ruizheng Jiang","orcid":"https://orcid.org/0000-0002-8584-2594"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruizheng Jiang","raw_affiliation_strings":["Marine Engineering College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Marine Engineering College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035775512","display_name":"Jundong Zhang","orcid":"https://orcid.org/0000-0002-2946-6264"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jundong Zhang","raw_affiliation_strings":["Marine Engineering College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Marine Engineering College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065009671","display_name":"Yuanyuan Tang","orcid":"https://orcid.org/0000-0002-2611-2225"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Tang","raw_affiliation_strings":["Marine Engineering College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Marine Engineering College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052215849","display_name":"Chuan Wang","orcid":"https://orcid.org/0000-0002-5495-2459"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Wang","raw_affiliation_strings":["Marine Engineering College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Marine Engineering College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047560959","display_name":"Jinhong Feng","orcid":"https://orcid.org/0000-0001-5613-1307"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhong Feng","raw_affiliation_strings":["Marine Engineering College, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Marine Engineering College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065698098"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2343,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83750676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"69601","last_page":"69614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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":0.9987000226974487,"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/T10320","display_name":"Neural Networks and Applications","score":0.9965999722480774,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.7557792663574219},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6615294218063354},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5157185196876526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41824203729629517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3783458173274994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557792663574219},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6615294218063354},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5157185196876526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41824203729629517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3783458173274994}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2986398","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2986398","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09058659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c91433455b9419ba07bd075d7de71d8","is_oa":true,"landing_page_url":"https://doaj.org/article/9c91433455b9419ba07bd075d7de71d8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 69601-69614 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2986398","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2986398","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09058659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7070527205","display_name":null,"funder_award_id":"51709027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3015247165.pdf","grobid_xml":"https://content.openalex.org/works/W3015247165.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1490180010","https://openalex.org/W1595159159","https://openalex.org/W1976956135","https://openalex.org/W1982664399","https://openalex.org/W1987314498","https://openalex.org/W2004227461","https://openalex.org/W2018299061","https://openalex.org/W2064498224","https://openalex.org/W2067102178","https://openalex.org/W2083281224","https://openalex.org/W2096166399","https://openalex.org/W2108604074","https://openalex.org/W2109248217","https://openalex.org/W2112488896","https://openalex.org/W2114053544","https://openalex.org/W2117250519","https://openalex.org/W2134154181","https://openalex.org/W2137340504","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2162145193","https://openalex.org/W2165466912","https://openalex.org/W2203601631","https://openalex.org/W2533693340","https://openalex.org/W2535258526","https://openalex.org/W2565530874","https://openalex.org/W2594386134","https://openalex.org/W2607415842","https://openalex.org/W2736583283","https://openalex.org/W2739135567","https://openalex.org/W2749396133","https://openalex.org/W2789845700","https://openalex.org/W2795084385","https://openalex.org/W2797654081","https://openalex.org/W2898299211","https://openalex.org/W2911208770","https://openalex.org/W2918318679","https://openalex.org/W2973117460","https://openalex.org/W2981321281","https://openalex.org/W2997092256","https://openalex.org/W2998086661","https://openalex.org/W2998301900","https://openalex.org/W2998483179"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,26],"this":[1],"paper,":[2],"a":[3,21,33,54,72,80,131],"Self-learning":[4],"Collective":[5,35],"Intelligence":[6,36],"Differential":[7],"Evolution":[8],"(SLCIDE)":[9],"algorithm":[10],"was":[11,41,58,68,127],"proposed":[12,42,83,102,124],"to":[13,28,60,129],"optimize":[14],"both":[15],"the":[16,30,50,82,98,101,123,150],"architecture":[17],"and":[18,89,118],"parameters":[19],"of":[20,100,111],"Feedforward":[22],"Neural":[23],"Network":[24],"(FNN).":[25],"order":[27],"improve":[29],"exploration-exploitation":[31],"capability,":[32],"new":[34],"(CI)":[37],"based":[38],"mutation":[39],"operator":[40],"by":[43,70,105],"mixing":[44],"some":[45,107],"promising":[46],"donor":[47,66],"vectors":[48,67],"in":[49,139],"current":[51],"population.":[52],"Besides,":[53],"self-learning":[55],"mechanism":[56],"which":[57],"designed":[59],"adaptively":[61],"select":[62],"m":[63],"top":[64],"ranked":[65],"developed":[69],"using":[71],"widely":[73],"used":[74],"unsupervised":[75],"learning":[76],"method,":[77],"k-means.":[78],"As":[79],"result,":[81],"approach":[84,104],"can":[85],"be":[86],"more":[87],"adaptive":[88],"statistically":[90],"powerful":[91],"on":[92,133],"versatile":[93],"problems.":[94],"Then,":[95],"we":[96],"evaluated":[97],"performances":[99],"SLCIDE":[103,125,152],"studying":[106],"numerical":[108],"optimization":[109],"problems":[110],"CEC":[112],"2013":[113],"with":[114,158],"D":[115,119],"=":[116,120],"30":[117],"50.":[121],"Further,":[122],"method":[126,153],"applied":[128],"train":[130],"FNN":[132],"four":[134],"most":[135],"popular":[136],"datasets,":[137],"resulting":[138],"very":[140],"competitive":[141],"performances.":[142],"The":[143],"comprehensive":[144],"experimental":[145],"results":[146,156],"have":[147],"demonstrated":[148],"that":[149],"presented":[151],"obtain":[154],"better":[155],"compared":[157],"other":[159],"state-of-the-art":[160],"algorithms.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}