{"id":"https://openalex.org/W3201630452","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533915","title":"Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization","display_name":"Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201630452","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533915","mag":"3201630452"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5062788175","display_name":"Stephen Friess","orcid":null},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Stephen Friess","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051182859","display_name":"Peter Ti\u0148o","orcid":"https://orcid.org/0000-0003-2330-128X"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Tino","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440525","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0002-8176-623X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Xu","raw_affiliation_strings":["NEC Laboratories Europe GmbH, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"NEC Laboratories Europe GmbH, Heidelberg, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012167116","display_name":"Stefan Menzel","orcid":"https://orcid.org/0000-0001-7594-2308"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Menzel","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach a.M., Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach a.M., Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066418464","display_name":"Bernhard Sendhoff","orcid":"https://orcid.org/0000-0002-1233-9584"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sendhoff","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach a.M., Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach a.M., Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, UK","Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062788175"],"corresponding_institution_ids":["https://openalex.org/I79619799"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63552769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9973999857902527,"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":0.6928828954696655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.667119026184082},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5338009595870972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5172517895698547},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5136972665786743},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.47849220037460327},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46785882115364075},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4646795094013214},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4384339153766632},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3298964500427246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20316293835639954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928828954696655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.667119026184082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5338009595870972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5172517895698547},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5136972665786743},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.47849220037460327},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46785882115364075},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4646795094013214},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4384339153766632},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3298964500427246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20316293835639954},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/4d3cab1d-f997-472f-96a4-165b54e3a8eb","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/4d3cab1d-f997-472f-96a4-165b54e3a8eb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Friess, S, Ti\u0148o, P, Xu, Z, Menzel, S, Sendhoff, B & Yao, X 2021, Artificial neural networks as feature extractors in continuous evolutionary optimization. in 2021 International Joint Conference on Neural Networks (IJCNN)., 9533915, International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1-9, 2021 International Joint Conference on Neural Networks (IJCNN), 18/07/21. https://doi.org/10.1109/IJCNN52387.2021.9533915","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W35387530","https://openalex.org/W243319620","https://openalex.org/W1507439377","https://openalex.org/W1538131130","https://openalex.org/W1559956479","https://openalex.org/W1562393358","https://openalex.org/W1601795611","https://openalex.org/W1653273292","https://openalex.org/W1663973292","https://openalex.org/W1966124573","https://openalex.org/W2008625057","https://openalex.org/W2032442397","https://openalex.org/W2064675550","https://openalex.org/W2072441740","https://openalex.org/W2079810998","https://openalex.org/W2101234009","https://openalex.org/W2109042184","https://openalex.org/W2116360511","https://openalex.org/W2124290836","https://openalex.org/W2135957668","https://openalex.org/W2138754805","https://openalex.org/W2150337126","https://openalex.org/W2490497999","https://openalex.org/W2519887557","https://openalex.org/W2558748708","https://openalex.org/W2593744649","https://openalex.org/W2763126185","https://openalex.org/W2778749116","https://openalex.org/W2885311373","https://openalex.org/W2898873842","https://openalex.org/W2906697496","https://openalex.org/W2907492528","https://openalex.org/W2919115771","https://openalex.org/W2955587577","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964145825","https://openalex.org/W2964212578","https://openalex.org/W2964321699","https://openalex.org/W2996489182","https://openalex.org/W3003257820","https://openalex.org/W3029372092","https://openalex.org/W3038338482","https://openalex.org/W3083634557","https://openalex.org/W3094309150","https://openalex.org/W3100431408","https://openalex.org/W3103145119","https://openalex.org/W3126016639","https://openalex.org/W4210257598","https://openalex.org/W6633620459","https://openalex.org/W6675354045","https://openalex.org/W6676279030","https://openalex.org/W6678191276","https://openalex.org/W6680294583","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6746622358","https://openalex.org/W6753278433","https://openalex.org/W6771982476","https://openalex.org/W6778187235","https://openalex.org/W6784741312"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W1480923359","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,53],"seen":[3],"the":[4,19,27,33,48,62,144,163,185],"advancement":[5],"of":[6,22,35,50,99,110,126,181,187],"data-driven":[7],"paradigms":[8],"in":[9,32,131],"population-based":[10],"and":[11,74,140,176],"evolutionary":[12,67],"optimization.":[13],"This":[14,58],"reflects":[15],"on":[16,26],"one":[17],"hand":[18,29],"mere":[20,80],"abundance":[21],"available":[23,37],"data,":[24],"but":[25],"other":[28],"also":[30],"progresses":[31],"refinement":[34],"previously":[36],"machine":[38],"learning":[39],"methods.":[40],"Surprisingly,":[41],"deep":[42,92],"pattern":[43],"recognition":[44],"methods":[45],"emerging":[46],"from":[47,179],"studies":[49],"neural":[51,119],"networks":[52,93],"only":[54],"been":[55],"sparingly":[56],"applied.":[57],"comes":[59],"unexpected,":[60],"as":[61],"complex":[63],"data":[64,105],"generated":[65,183],"by":[66],"search":[68,128],"algorithms":[69],"can":[70,161],"be":[71],"considered":[72],"tedious":[73],"intractable":[75],"for":[76],"manual":[77],"analysis":[78],"with":[79,104],"practical":[81],"intuitions.":[82],"In":[83],"this":[84],"work,":[85],"we":[86],"therefore":[87],"explore":[88],"opportunities":[89],"to":[90,94,133,171],"employ":[91],"directly":[95],"learn":[96,172],"problem":[97],"characteristics":[98,142],"continuous":[100,127,153],"optimization":[101,112,154,189],"problems.":[102,155],"Particularly,":[103],"obtained":[106],"during":[107,184],"initial":[108],"runs":[109],"an":[111,188],"algorithm.":[113,190],"We":[114,156],"find":[115],"that":[116,158],"a":[117,123],"graph":[118,124],"network,":[120],"trained":[121],"upon":[122],"representation":[125],"spaces,":[129],"shows":[130],"comparison":[132],"more":[134],"traditional":[135],"approaches":[136,167],"higher":[137],"validation":[138],"accuracy":[139],"retrieves":[141],"within":[143],"latent":[145],"space":[146],"which":[147,168],"are":[148],"better":[149],"at":[150],"distinguishing":[151],"different":[152],"hope":[157],"our":[159],"study":[160],"pave":[162],"way":[164],"towards":[165],"new":[166],"allow":[169],"us":[170],"problem-dependent":[173],"algorithm":[174],"components":[175],"recall":[177],"these":[178],"predictions":[180],"inputs":[182],"run-time":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
