{"id":"https://openalex.org/W3134621132","doi":"https://doi.org/10.1109/cec45853.2021.9504773","title":"Multi-Objective Evolutionary Design of Composite Data-Driven Models","display_name":"Multi-Objective Evolutionary Design of Composite Data-Driven Models","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3134621132","doi":"https://doi.org/10.1109/cec45853.2021.9504773","mag":"3134621132"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.01301","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036734364","display_name":"Iana S. Polonskaia","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Iana S. Polonskaia","raw_affiliation_strings":["Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia"],"affiliations":[{"raw_affiliation_string":"Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014299140","display_name":"Nikolay O. Nikitin","orcid":"https://orcid.org/0000-0002-6839-9957"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay O. Nikitin","raw_affiliation_strings":["Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia"],"affiliations":[{"raw_affiliation_string":"Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063535629","display_name":"Ilia Revin","orcid":"https://orcid.org/0000-0002-4459-8724"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilia Revin","raw_affiliation_strings":["Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia"],"affiliations":[{"raw_affiliation_string":"Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004681734","display_name":"Pavel Vychuzhanin","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel Vychuzhanin","raw_affiliation_strings":["Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia"],"affiliations":[{"raw_affiliation_string":"Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056189231","display_name":"Anna V. Kalyuzhnaya","orcid":"https://orcid.org/0000-0002-9612-8601"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anna V. Kalyuzhnaya","raw_affiliation_strings":["Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia"],"affiliations":[{"raw_affiliation_string":"Natural Systems Simulation Lab, ITMO University, Saint-Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University,Natural Systems Simulation Lab,Saint-Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036734364"],"corresponding_institution_ids":["https://openalex.org/I173089394"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05774773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"926","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9947999715805054,"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":0.9772999882698059,"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/correctness","display_name":"Correctness","score":0.8100829720497131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297342419624329},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5610954761505127},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5357809066772461},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5069444179534912},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4679841995239258},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.43548017740249634},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41653749346733093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.401610791683197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37808722257614136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37314432859420776},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23071539402008057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20816275477409363},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13035684823989868},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0772412121295929}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.8100829720497131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297342419624329},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5610954761505127},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5357809066772461},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5069444179534912},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4679841995239258},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.43548017740249634},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41653749346733093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.401610791683197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37808722257614136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37314432859420776},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23071539402008057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20816275477409363},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13035684823989868},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0772412121295929},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cec45853.2021.9504773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.01301","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.01301","pdf_url":"https://arxiv.org/pdf/2103.01301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3134621132","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2103.01301","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.01301","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.01301","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.01301","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.01301","pdf_url":"https://arxiv.org/pdf/2103.01301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134621132.pdf","grobid_xml":"https://content.openalex.org/works/W3134621132.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W354622967","https://openalex.org/W1585939719","https://openalex.org/W1944986527","https://openalex.org/W2018535136","https://openalex.org/W2054145446","https://openalex.org/W2126105956","https://openalex.org/W2578922287","https://openalex.org/W2593649365","https://openalex.org/W2596367596","https://openalex.org/W2895303784","https://openalex.org/W2932365311","https://openalex.org/W2945790622","https://openalex.org/W2947123069","https://openalex.org/W2951104886","https://openalex.org/W2954234207","https://openalex.org/W2964763154","https://openalex.org/W2965658867","https://openalex.org/W2971155575","https://openalex.org/W2979557842","https://openalex.org/W3004309097","https://openalex.org/W3038400328","https://openalex.org/W3046482633","https://openalex.org/W3046678338","https://openalex.org/W3080875002","https://openalex.org/W3112182098","https://openalex.org/W3112783105","https://openalex.org/W3117927812","https://openalex.org/W6635097213","https://openalex.org/W6640614789","https://openalex.org/W6735641298","https://openalex.org/W6752515464","https://openalex.org/W6762903864","https://openalex.org/W6767150782","https://openalex.org/W6781450480","https://openalex.org/W6787984549"],"related_works":["https://openalex.org/W3187200735","https://openalex.org/W3177395556","https://openalex.org/W2913324419","https://openalex.org/W3210406928","https://openalex.org/W85513027","https://openalex.org/W2031906699","https://openalex.org/W43127806","https://openalex.org/W3202368399","https://openalex.org/W2031881987","https://openalex.org/W2492127914","https://openalex.org/W2770513052","https://openalex.org/W2061895663","https://openalex.org/W3086204591","https://openalex.org/W2030751442","https://openalex.org/W3087920201","https://openalex.org/W42967673","https://openalex.org/W2102719229","https://openalex.org/W2070061777","https://openalex.org/W3213279156","https://openalex.org/W2591669805"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,43,100,122],"multi-objective":[4,101],"approach":[5,39,89,102,118],"for":[6,48],"the":[7,19,67,70,82,87,92,104,125],"design":[8,50,106],"of":[9,21,27,59,69,76,86,113,124],"composite":[10],"data-driven":[11],"mathematical":[12],"models":[13],"is":[14,40,54,119],"proposed.":[15],"It":[16,53],"allows":[17,107],"automating":[18],"identification":[20],"graph-based":[22],"heterogeneous":[23],"pipelines":[24],"that":[25,99],"consist":[26],"different":[28],"blocks:":[29],"machine":[30,61],"learning":[31,62],"models,":[32],"data":[33],"preprocessing":[34],"blocks,":[35],"etc.":[36],"The":[37,95,116],"implemented":[38,117],"based":[41],"on":[42],"parameter-free":[44],"genetic":[45],"algorithm":[46],"(GA)":[47],"model":[49,105],"called":[51],"GPComp@Free.":[52],"developed":[55],"to":[56,65,80,103],"be":[57],"part":[58,123],"automated":[60],"solutions":[63],"and":[64,84,90,111],"increase":[66],"efficiency":[68,85],"modeling":[71],"pipeline":[72],"automation.":[73],"A":[74],"set":[75],"experiments":[77],"was":[78],"conducted":[79],"verify":[81],"correctness":[83],"proposed":[88],"substantiate":[91],"selected":[93],"solutions.":[94],"experimental":[96],"results":[97],"confirm":[98],"achieving":[108],"better":[109],"diversity":[110],"quality":[112],"obtained":[114],"models.":[115],"available":[120],"as":[121],"open-source":[126],"AutoML":[127],"framework":[128],"FEDOT.":[129]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}