{"id":"https://openalex.org/W2808285930","doi":"https://doi.org/10.1109/icaci.2018.8377530","title":"Tuning the hyper-parameters of CMA-ES with tree-structured Parzen estimators","display_name":"Tuning the hyper-parameters of CMA-ES with tree-structured Parzen estimators","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2808285930","doi":"https://doi.org/10.1109/icaci.2018.8377530","mag":"2808285930"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2018.8377530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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/A5050856537","display_name":"Meng Zhao","orcid":"https://orcid.org/0000-0002-5163-1756"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhao","raw_affiliation_strings":["USTC-Birmingham Joint Research Institution in Intelligent Computation and Its Applications (UBRI), University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTC-Birmingham Joint Research Institution in Intelligent Computation and Its Applications (UBRI), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454986","display_name":"Jinlong Li","orcid":"https://orcid.org/0000-0002-9698-1004"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Li","raw_affiliation_strings":["USTC-Birmingham Joint Research Institution in Intelligent Computation and Its Applications (UBRI), University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USTC-Birmingham Joint Research Institution in Intelligent Computation and Its Applications (UBRI), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.0154,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97074293,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9966999888420105,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9944999814033508,"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":0.4791628420352936},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4552537202835083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36333492398262024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36016350984573364},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3571128845214844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32881203293800354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1921754777431488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4791628420352936},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4552537202835083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36333492398262024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36016350984573364},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3571128845214844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32881203293800354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1921754777431488}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2018.8377530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2018.8377530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)","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":21,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1810236196","https://openalex.org/W2035190887","https://openalex.org/W2073476134","https://openalex.org/W2082510613","https://openalex.org/W2097263684","https://openalex.org/W2101677491","https://openalex.org/W2106411961","https://openalex.org/W2113207845","https://openalex.org/W2113955139","https://openalex.org/W2131241448","https://openalex.org/W2138537392","https://openalex.org/W2171263583","https://openalex.org/W2336687883","https://openalex.org/W2732736182","https://openalex.org/W4324106947","https://openalex.org/W6676179485","https://openalex.org/W6677088747","https://openalex.org/W6678911119","https://openalex.org/W6685120113","https://openalex.org/W6702989015"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298"],"abstract_inverted_index":{"CMA-ES":[0,15,132],"is":[1,16,30,74],"widely":[2],"used":[3],"for":[4,32],"non-linear":[5],"and":[6,28,48,82,133],"non-convex":[7],"function":[8],"optimization,":[9],"but":[10],"tuning":[11],"the":[12,33,43,66,77,83,97,107,124,130,134],"hyper-parameters":[13,23],"of":[14,69,79,86],"a":[17,52,120],"practical":[18],"challenge.":[19],"There":[20],"are":[21,94],"three":[22],"cc,":[24,46,70],"c1and":[25,71],"c\u03bcof":[26],"CMA-ES,":[27],"it":[29],"important":[31],"covariance":[34],"matrix":[35],"updates":[36],"to":[37,55,64],"configure":[38],"their":[39,57],"values.":[40],"Based":[41],"on":[42,76,106],"constraints":[44],"among":[45],"ci":[47],"c\u03bc,":[49,72],"we":[50],"design":[51],"tree-structured":[53],"graph":[54],"describe":[56],"relationships.":[58],"We":[59,102],"maximize":[60],"Expected":[61],"Improvement":[62],"(EI)":[63],"search":[65],"configuration":[67,87],"space":[68],"which":[73],"based":[75],"distribution":[78,85],"solution":[80,89],"quality":[81],"conditional":[84],"given":[88],"quality.":[90],"The":[91,111],"two":[92],"distributions":[93],"modeled":[95],"by":[96],"Tree-structured":[98],"Parzen":[99],"Estimators":[100],"(TPE).":[101],"evaluate":[103],"our":[104,116],"approach":[105,117],"BBOB":[108],"noiseless":[109],"problems.":[110],"experimental":[112],"results":[113],"show":[114],"that":[115],"mostly":[118],"gets":[119],"faster":[121],"convergence":[122],"towards":[123],"optimal":[125],"solutions":[126],"when":[127],"compared":[128],"with":[129],"default":[131],"state-of-the-art":[135],"algorithm":[136],"self-CMA-ES.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}