{"id":"https://openalex.org/W3120550330","doi":"https://doi.org/10.1109/ssci47803.2020.9308162","title":"A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification","display_name":"A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3120550330","doi":"https://doi.org/10.1109/ssci47803.2020.9308162","mag":"3120550330"},"language":"en","primary_location":{"id":"doi:10.1109/ssci47803.2020.9308162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5091392414","display_name":"Junwei Dong","orcid":"https://orcid.org/0000-0001-6597-0874"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Dong","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068728111","display_name":"Liang\u2010Jie Zhang","orcid":"https://orcid.org/0000-0002-6219-0853"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Zhang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018701235","display_name":"Boyu Hou","orcid":"https://orcid.org/0000-0002-8637-4892"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Hou","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051395807","display_name":"Liang Feng","orcid":"https://orcid.org/0000-0002-8356-7242"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Feng","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2663","last_page":"2669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/memetic-algorithm","display_name":"Memetic algorithm","score":0.8272782564163208},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7759009599685669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592030763626099},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6990622282028198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6610699892044067},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5485398173332214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49729326367378235},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4865252375602722},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46672526001930237},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.46005553007125854},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.4436705708503723},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.437804251909256},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4278416335582733},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4223071038722992},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.41534528136253357},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4111118018627167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36184579133987427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2875853180885315}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.8272782564163208},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7759009599685669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592030763626099},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6990622282028198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6610699892044067},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5485398173332214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49729326367378235},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4865252375602722},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46672526001930237},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.46005553007125854},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.4436705708503723},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.437804251909256},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4278416335582733},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4223071038722992},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.41534528136253357},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4111118018627167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36184579133987427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2875853180885315},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci47803.2020.9308162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1817244122","https://openalex.org/W1901129140","https://openalex.org/W1923697677","https://openalex.org/W1994197834","https://openalex.org/W2097117768","https://openalex.org/W2111811973","https://openalex.org/W2111935653","https://openalex.org/W2113207845","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2418011751","https://openalex.org/W2553303224","https://openalex.org/W2587014634","https://openalex.org/W2594529350","https://openalex.org/W2613718673","https://openalex.org/W2741430497","https://openalex.org/W2748513770","https://openalex.org/W2750384547","https://openalex.org/W2769653148","https://openalex.org/W2773706593","https://openalex.org/W2782417188","https://openalex.org/W2788853733","https://openalex.org/W2796265726","https://openalex.org/W2796347433","https://openalex.org/W2803311163","https://openalex.org/W2808938483","https://openalex.org/W2810075754","https://openalex.org/W2885820039","https://openalex.org/W2888429796","https://openalex.org/W2894957136","https://openalex.org/W2913732044","https://openalex.org/W2924820442","https://openalex.org/W2943530662","https://openalex.org/W2949264490","https://openalex.org/W2951104886","https://openalex.org/W2951886768","https://openalex.org/W2962746461","https://openalex.org/W2962750597","https://openalex.org/W2963446712","https://openalex.org/W2963473542","https://openalex.org/W2963474950","https://openalex.org/W2963536136","https://openalex.org/W2963778169","https://openalex.org/W2963821229","https://openalex.org/W2963881378","https://openalex.org/W2963946985","https://openalex.org/W2964081403","https://openalex.org/W2964081807","https://openalex.org/W2964331719","https://openalex.org/W2965658867","https://openalex.org/W2981383995","https://openalex.org/W3106250896","https://openalex.org/W4255158661","https://openalex.org/W4285719527","https://openalex.org/W4288409786","https://openalex.org/W4293584584","https://openalex.org/W4295185264","https://openalex.org/W4300687381","https://openalex.org/W4300687870","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638432646","https://openalex.org/W6638444622","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6677088747","https://openalex.org/W6684191040","https://openalex.org/W6694517276","https://openalex.org/W6713783767","https://openalex.org/W6716843620","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6733065090","https://openalex.org/W6734593296","https://openalex.org/W6741978826","https://openalex.org/W6743495212","https://openalex.org/W6743688258","https://openalex.org/W6745614327","https://openalex.org/W6745748327","https://openalex.org/W6745922083","https://openalex.org/W6748057086","https://openalex.org/W6748587240","https://openalex.org/W6750227808","https://openalex.org/W6751831502","https://openalex.org/W6752515464","https://openalex.org/W6753303928","https://openalex.org/W6753344092","https://openalex.org/W6753701838","https://openalex.org/W6755271975","https://openalex.org/W6759402224","https://openalex.org/W6761154904","https://openalex.org/W6762376514","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2163647484","https://openalex.org/W47248985","https://openalex.org/W2000270779","https://openalex.org/W2129486222","https://openalex.org/W2042716007","https://openalex.org/W1778024729","https://openalex.org/W1980841486","https://openalex.org/W2043816158","https://openalex.org/W1587473980","https://openalex.org/W2083844986"],"abstract_inverted_index":{"As":[0],"evolutionary":[1,37,119],"algorithms":[2,61],"(EAs)":[3],"are":[4,84,103,211],"robust":[5],"to":[6,12,39,157],"the":[7,41,66,74,130,134,144,159,167,172,182,184,192,202,205,218],"problem":[8],"formulation":[9],"and":[10],"easy":[11],"use,":[13],"there":[14,83,102],"is":[15,33,97,108,150,187],"a":[16,34,44,116,125,178],"growing":[17],"interest":[18],"in":[19,27,88,181,196],"designing":[20],"EAs":[21],"for":[22,50,62,99,152,162,215],"automated":[23],"neural":[24,120],"architecture":[25,121,168],"search":[26,122,149,169],"recent":[28,179],"years.":[29],"In":[30,111],"particular,":[31],"EvoCNN":[32,214],"recently":[35],"proposed":[36,198,206],"algorithm":[38,127],"automate":[40],"configuration":[42],"of":[43,132,140,204],"deep":[45],"Convolutional":[46],"Neural":[47],"Network":[48],"(CNN)":[49],"image":[51,69,221],"classification.":[52],"Its":[53],"efficacy":[54,203],"has":[55],"been":[56],"confirmed":[57],"against":[58,213],"22":[59],"existing":[60],"CNN":[63],"configuration,":[64],"on":[65,118,166,171,177,190,217],"widely":[67],"used":[68,220],"classification":[70,222],"tasks.":[71],"However,":[72],"despite":[73],"success":[75],"enjoyed":[76],"by":[77,123],"this":[78,89,112],"method,":[79,207],"we":[80,114,164],"note":[81],"that":[82],"several":[85],"limitations":[86],"existed":[87],"method.":[90],"For":[91],"example,":[92],"only":[93,170,191],"chain":[94,145],"structured":[95,146],"network":[96,154,160,185],"considered":[98],"evolution.":[100],"Further,":[101],"many":[104],"decision":[105],"variables,":[106],"which":[107],"computational":[109],"expensive.":[110],"paper,":[113],"embark":[115],"study":[117],"proposing":[124],"memetic":[126],"(MA),":[128],"with":[129],"aim":[131],"addressing":[133],"problems":[135],"mentioned":[136],"above.":[137],"Particularly,":[138],"first":[139],"all,":[141],"besides":[142],"evolving":[143],"network,":[147],"local":[148],"designed":[151],"multibranch":[153],"search.":[155],"Next,":[156],"reduce":[158],"parameters":[161],"optimization,":[163],"focus":[165],"convolutional":[173],"layers.":[174],"Moreover,":[175],"based":[176,189],"hypothesis":[180],"literature,":[183],"evaluation":[186],"conducted":[188,212],"early":[193],"training":[194],"process":[195],"our":[197],"MA.":[199],"To":[200],"confirm":[201],"comprehensive":[208],"empirical":[209],"studies":[210],"NAS,":[216],"commonly":[219],"benchmarks.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
