{"id":"https://openalex.org/W2964148549","doi":"https://doi.org/10.1145/3321707.3321735","title":"Evolving deep neural networks by multi-objective particle swarm optimization for image classification","display_name":"Evolving deep neural networks by multi-objective particle swarm optimization for image classification","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2964148549","doi":"https://doi.org/10.1145/3321707.3321735","mag":"2964148549"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321735","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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/A5115604616","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-0267-3749"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091058342","display_name":"Yanan Sun","orcid":"https://orcid.org/0000-0001-6374-1429"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yanan Sun","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":15.6585,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.9975049,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9932000041007996,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7728623151779175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546563744544983},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6725812554359436},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6716983318328857},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6552483439445496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6306673288345337},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6284124851226807},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5739736557006836},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5471025705337524},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5055196285247803},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4556858539581299},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43239712715148926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.426858127117157},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4166561961174011},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3232645094394684},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2468644082546234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0787363350391388}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7728623151779175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546563744544983},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6725812554359436},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6716983318328857},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6552483439445496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306673288345337},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6284124851226807},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5739736557006836},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5471025705337524},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5055196285247803},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4556858539581299},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43239712715148926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.426858127117157},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4166561961174011},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3232645094394684},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2468644082546234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0787363350391388},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321707.3321735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321735","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1587294773","https://openalex.org/W1600188168","https://openalex.org/W1686810756","https://openalex.org/W2063375245","https://openalex.org/W2126105956","https://openalex.org/W2156387975","https://openalex.org/W2511730936","https://openalex.org/W2553303224","https://openalex.org/W2598851863","https://openalex.org/W2752782242","https://openalex.org/W2782417188","https://openalex.org/W2793352225","https://openalex.org/W2793927962","https://openalex.org/W2888728044","https://openalex.org/W2949117887","https://openalex.org/W2949650786","https://openalex.org/W2962737770","https://openalex.org/W2963420686","https://openalex.org/W2963993763","https://openalex.org/W3118608800"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1588199609","https://openalex.org/W2744462909","https://openalex.org/W1971520370","https://openalex.org/W1550055091"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"convolutional":[3],"neural":[4],"networks":[5],"(CNNs)":[6],"have":[7],"become":[8],"deeper":[9],"in":[10,17,64],"order":[11],"to":[12,24,34,89,120,134,157,185],"achieve":[13],"better":[14],"classification":[15,46,99],"accuracy":[16,47,100],"image":[18],"classification.":[19],"However,":[20],"it":[21],"is":[22,87,118,132,153,183],"difficult":[23],"deploy":[25],"the":[26,35,40,43,70,74,93,98,102,109,122,136,141,159,166,171,180,189],"state-of-the-art":[27,61,95],"deep":[28,62],"CNNs":[29,63],"for":[30,59],"industrial":[31],"use":[32],"due":[33],"difficulty":[36],"of":[37,92,104],"manually":[38],"fine-tuning":[39],"hyperparameters":[41],"and":[42,48,101,149,155,179],"trade-off":[44],"between":[45],"computational":[49],"cost.":[50],"This":[51],"paper":[52],"proposes":[53],"a":[54,83,112,129,150,175],"novel":[55],"multi-objective":[56,113],"optimization":[57,116],"method":[58,117,173],"evolving":[60],"real-life":[65],"applications,":[66],"which":[67],"automatically":[68],"evolves":[69],"non-dominant":[71,123,167],"solutions":[72,168],"at":[73],"Pareto":[75,177],"front.":[76],"Three":[77],"major":[78],"contributions":[79],"are":[80],"made:":[81],"Firstly,":[82],"new":[84,130],"encoding":[85],"strategy":[86],"designed":[88,133],"encode":[90],"one":[91],"best":[94],"CNNs;":[96],"With":[97],"number":[103],"floating":[105],"point":[106],"operations":[107],"as":[108],"two":[110],"objectives,":[111],"particle":[114],"swarm":[115],"developed":[119,154],"evolve":[121],"solutions;":[124],"Last":[125],"but":[126],"not":[127],"least,":[128],"infrastructure":[131,182],"boost":[135],"experiments":[137,142],"by":[138,170],"concurrently":[139],"running":[140,190],"on":[143],"multiple":[144,147],"GPUs":[145],"across":[146],"machines,":[148],"Python":[151],"library":[152],"released":[156],"manage":[158],"infrastructure.":[160],"The":[161],"experimental":[162],"results":[163],"demonstrate":[164],"that":[165],"found":[169],"proposed":[172,181],"form":[174],"clear":[176],"front,":[178],"able":[184],"almost":[186],"linearly":[187],"reduce":[188],"time.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
