{"id":"https://openalex.org/W3083319805","doi":"https://doi.org/10.1109/cec48606.2020.9185634","title":"Dual Inheritance Evolution Strategy for Deep Neural Network Optimization","display_name":"Dual Inheritance Evolution Strategy for Deep Neural Network Optimization","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083319805","doi":"https://doi.org/10.1109/cec48606.2020.9185634","mag":"3083319805"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185634","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":"conference-paper","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/A5005288345","display_name":"Kent Hino","orcid":"https://orcid.org/0009-0003-3060-581X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kent Hino","raw_affiliation_strings":["Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061390903","display_name":"Yusuke Kimura","orcid":"https://orcid.org/0000-0002-7353-5765"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kimura","raw_affiliation_strings":["Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063215270","display_name":"Yue Dong","orcid":"https://orcid.org/0000-0003-2161-8566"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yue Dong","raw_affiliation_strings":["Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103015161","display_name":"Takahiro Shinozaki","orcid":"https://orcid.org/0000-0001-8114-8450"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Shinozaki","raw_affiliation_strings":["Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tokyo Institute of Technology, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.996999979019165,"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":0.996399998664856,"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/cma-es","display_name":"CMA-ES","score":0.8826024532318115},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.762615442276001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692663311958313},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.581876277923584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678792595863342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5328510403633118},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.48733243346214294},{"id":"https://openalex.org/keywords/inheritance","display_name":"Inheritance (genetic algorithm)","score":0.45141366124153137},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4338006377220154},{"id":"https://openalex.org/keywords/evolutionary-acquisition-of-neural-topologies","display_name":"Evolutionary acquisition of neural topologies","score":0.42804965376853943},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.42265984416007996},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.3537425398826599}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.8826024532318115},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.762615442276001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692663311958313},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.581876277923584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678792595863342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5328510403633118},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.48733243346214294},{"id":"https://openalex.org/C2780902518","wikidata":"https://www.wikidata.org/wiki/Q6033780","display_name":"Inheritance (genetic algorithm)","level":3,"score":0.45141366124153137},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4338006377220154},{"id":"https://openalex.org/C41445625","wikidata":"https://www.wikidata.org/wiki/Q5418685","display_name":"Evolutionary acquisition of neural topologies","level":4,"score":0.42804965376853943},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.42265984416007996},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.3537425398826599},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185634","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":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W58893626","https://openalex.org/W854541894","https://openalex.org/W1579744901","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1852651688","https://openalex.org/W1877570817","https://openalex.org/W1970789124","https://openalex.org/W2127141656","https://openalex.org/W2138537392","https://openalex.org/W2148154194","https://openalex.org/W2151965738","https://openalex.org/W2208154600","https://openalex.org/W2288471100","https://openalex.org/W2294370754","https://openalex.org/W2327501763","https://openalex.org/W2526425061","https://openalex.org/W2766219058","https://openalex.org/W2893243126","https://openalex.org/W2936252403","https://openalex.org/W2962780374","https://openalex.org/W2963523217","https://openalex.org/W2964118293","https://openalex.org/W3007384386","https://openalex.org/W6602415096","https://openalex.org/W6623517193","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6682262322"],"related_works":["https://openalex.org/W1564754565","https://openalex.org/W1822215690","https://openalex.org/W2547836621","https://openalex.org/W2102869784","https://openalex.org/W4879471","https://openalex.org/W1987433714","https://openalex.org/W2528958959","https://openalex.org/W68431430","https://openalex.org/W3083319805","https://openalex.org/W2116954712"],"abstract_inverted_index":{"Deep":[0],"neural":[1,148],"networks":[2],"(DNNs)":[3],"need":[4],"intensive":[5],"tuning":[6,18,144],"of":[7,22,37,110,145],"their":[8],"configurations":[9,39],"such":[10],"as":[11],"network":[12],"structures":[13],"and":[14,101],"learning":[15],"conditions.":[16],"The":[17,104],"is":[19,40,43,107],"a":[20,44,54,86,111,161,169],"type":[21],"black-box":[23],"optimization":[24,36,171],"problem":[25],"where":[26,99],"evolutionary":[27,35,51,82],"algorithms":[28],"are":[29],"applicable.":[30],"A":[31],"distinctive":[32],"property":[33],"in":[34,47],"DNN":[38,58,63],"that":[41,156],"there":[42],"double":[45],"structure":[46],"the":[48,50,57,65,138,142,157,174],"optimization;":[49],"algorithm":[52],"optimizes":[53],"chromosome":[55],"representing":[56],"configuration":[59,66],"while":[60],"an":[61,75,93,108,117,146],"individual":[62],"with":[64,164],"learns":[67],"from":[68,126],"training":[69],"data":[70],"typically":[71],"by":[72,81,115,132],"back-propagation.":[73],"With":[74],"aim":[76],"to":[77,95,120,129,141],"obtain":[78],"better-optimized":[79],"DNNs":[80,128,131],"algorithms,":[83],"we":[84],"propose":[85],"dual":[87],"inheritance":[88],"evolution":[89,98,113],"strategy":[90,114],"based":[91,172],"on":[92,173],"analogy":[94],"human":[96],"brain":[97],"gene":[100],"culture":[102,123],"co-evolves.":[103],"proposed":[105,139,158],"method":[106,140,159],"extension":[109],"conventional":[112],"introducing":[116],"additional":[118],"pass":[119],"directly":[121],"propagate":[122],"or":[124],"knowledge":[125],"ancestor":[127],"descendant":[130],"integrating":[133],"teacher-student":[134],"learning.":[135],"We":[136],"apply":[137],"automatic":[143],"end-to-end":[147],"network-based":[149],"speech":[150],"recognition":[151,166],"system.":[152],"Experimental":[153],"results":[154],"show":[155],"produces":[160],"smaller":[162],"model":[163],"higher":[165],"performance":[167],"than":[168],"baseline":[170],"Covariance":[175],"Matrix":[176],"Adaptation":[177],"Evolution":[178],"Strategy":[179],"(CMA-ES).":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}