{"id":"https://openalex.org/W3046348704","doi":"https://doi.org/10.1145/3377929.3389952","title":"Hybrid bayesian evolutionary optimization for hyperparameter tuning","display_name":"Hybrid bayesian evolutionary optimization for hyperparameter tuning","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046348704","doi":"https://doi.org/10.1145/3377929.3389952","mag":"3046348704"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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/A5052693487","display_name":"Lukas Atkinson","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Atkinson","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt a. M., Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt a. M., Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076253107","display_name":"Robin M\u00fcller-Bady","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robin M\u00fcller-Bady","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt a. M., Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt a. M., Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111909213","display_name":"Martin Kappes","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Kappes","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt a. M., Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt a. M., Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052693487"],"corresponding_institution_ids":["https://openalex.org/I114090438","https://openalex.org/I5237613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12336256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976000189781189,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/hyperparameter","display_name":"Hyperparameter","score":0.8376741409301758},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.8250585198402405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939414739608765},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6826433539390564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919542908668518},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5799225568771362},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5788081288337708},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4469861686229706}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8376741409301758},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.8250585198402405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939414739608765},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6826433539390564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919542908668518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5799225568771362},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5788081288337708},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4469861686229706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3389952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1746819321","https://openalex.org/W1848358563","https://openalex.org/W2012451526","https://openalex.org/W2111526171","https://openalex.org/W2113207845","https://openalex.org/W2117643431","https://openalex.org/W2141119792","https://openalex.org/W2192203593","https://openalex.org/W2346138280","https://openalex.org/W2548424203","https://openalex.org/W2557488584","https://openalex.org/W2802235618","https://openalex.org/W2912315457","https://openalex.org/W2913668833","https://openalex.org/W2950182411"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4286970057","https://openalex.org/W2967237190","https://openalex.org/W3028852288","https://openalex.org/W4323366554","https://openalex.org/W2405673391","https://openalex.org/W2200000192","https://openalex.org/W4382702029"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"Hybrid":[6],"Bayesian-Evolutionary":[7],"tuning":[8,12],"algorithm":[9],"(HBEtune)":[10],"for":[11],"machine":[13],"learning":[14],"algorithms":[15],"or":[16],"evolutionary":[17],"algorithms,":[18],"and":[19,26],"analyze":[20],"its":[21],"performance.":[22],"HBEtune":[23],"combines":[24],"meta-EA":[25],"Bayesian":[27],"optimization":[28],"techniques.":[29]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
