{"id":"https://openalex.org/W7131234259","doi":"https://doi.org/10.1007/s44443-026-00496-x","title":"A two-stage framework with search space pruning for combined algorithm selection and hyperparameter optimization","display_name":"A two-stage framework with search space pruning for combined algorithm selection and hyperparameter optimization","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131234259","doi":"https://doi.org/10.1007/s44443-026-00496-x"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00496-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00496-x","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-026-00496-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100849145","display_name":"Wu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Sun","raw_affiliation_strings":["State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126727340","display_name":"Hui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Panfeng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panfeng Chen","raw_affiliation_strings":["State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126697504","display_name":"Mei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":["State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanhao Wang","orcid":"https://orcid.org/0000-0002-7661-3917"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanhao Wang","raw_affiliation_strings":["School of Data Science and Engineering, East China Normal University, Shanghai, 200062, China"],"raw_orcid":"https://orcid.org/0000-0002-7661-3917","affiliations":[{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University, Shanghai, 200062, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5126727340"],"corresponding_institution_ids":["https://openalex.org/I178232147","https://openalex.org/I66867065"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20904501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9958999752998352,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958999752998352,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.9319999814033508},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.718500018119812},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6754999756813049},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47870001196861267},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47600001096725464},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3882000148296356},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36579999327659607},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.3598000109195709}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9319999814033508},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.718500018119812},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6754999756813049},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6608999967575073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593999862670898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623999834060669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5144000053405762},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.34709998965263367},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C126661757","wikidata":"https://www.wikidata.org/wiki/Q4925641","display_name":"Random search","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00496-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00496-x","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bcf0bc1c359c4fa9a1452c8d26f5542c","is_oa":true,"landing_page_url":"https://doaj.org/article/bcf0bc1c359c4fa9a1452c8d26f5542c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 4 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00496-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00496-x","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G359319952","display_name":"\u4e91\u5e73\u53f0\u4e0a\u57fa\u4e8e\u6d77\u91cf\u533b\u5b66\u56fe\u50cf\u5e76\u884c\u6570\u636e\u6316\u6398\u7684\u8ba1\u7b97\u673a\u8f85\u52a9\u8bca\u65ad\u6280\u672f\u7814\u7a76","funder_award_id":"61562010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W53016366","https://openalex.org/W60686164","https://openalex.org/W114517082","https://openalex.org/W1510052597","https://openalex.org/W1577668191","https://openalex.org/W1703658160","https://openalex.org/W1974336701","https://openalex.org/W2017001763","https://openalex.org/W2102539288","https://openalex.org/W2103914106","https://openalex.org/W2123649031","https://openalex.org/W2151554678","https://openalex.org/W2163490846","https://openalex.org/W2166107799","https://openalex.org/W2507221917","https://openalex.org/W2593742786","https://openalex.org/W2726140679","https://openalex.org/W2889326414","https://openalex.org/W2903782687","https://openalex.org/W2911964244","https://openalex.org/W2964184826","https://openalex.org/W3022199973","https://openalex.org/W3029879778","https://openalex.org/W3044339716","https://openalex.org/W3045004532","https://openalex.org/W3121267967","https://openalex.org/W3123920941","https://openalex.org/W4206316563","https://openalex.org/W4206990796","https://openalex.org/W4249517230","https://openalex.org/W4285221372","https://openalex.org/W4291125279","https://openalex.org/W4312075150","https://openalex.org/W4386805472","https://openalex.org/W4392309046","https://openalex.org/W4399536918","https://openalex.org/W4402516174","https://openalex.org/W4403444929","https://openalex.org/W4403536777","https://openalex.org/W4415798638","https://openalex.org/W7118048881"],"related_works":[],"abstract_inverted_index":{"With":[0,189],"the":[1,20,49,55,71,87,149,161,180,209],"increasing":[2],"complexity":[3],"of":[4,75,208],"building":[5],"and":[6,26,36,62,78,90,98,117,148,177,222],"optimizing":[7],"machine":[8,12],"learning":[9,13],"models,":[10],"automated":[11],"(AutoML)":[14],"has":[15],"attracted":[16],"much":[17],"attention":[18],"over":[19],"last":[21],"decade.":[22],"Combined":[23],"algorithm":[24,35,134],"selection":[25],"hyperparameter":[27,79,154,158],"optimization":[28,120,159],"(CASH),":[29],"which":[30],"automatically":[31],"selects":[32],"an":[33],"ML":[34,76,195],"tunes":[37],"its":[38],"hyperparameters":[39,63],"in":[40,48,124,187,216],"a":[41,45,65,92,104,137,170,213],"unified":[42],"manner,":[43],"plays":[44],"crucial":[46],"role":[47],"AutoML":[50],"process.":[51],"However,":[52],"due":[53],"to":[54,131,140,169,185],"vast":[56],"search":[57,163,173,181],"space,":[58],"identifying":[59],"optimal":[60,175],"algorithms":[61,77,143,176],"remains":[64],"significant":[66],"challenge.":[67],"We":[68],"observe":[69],"that":[70,199],"relative":[72],"performance":[73,135],"rankings":[74],"configurations":[80],"remain":[81],"generally":[82],"consistent":[83],"when":[84],"trained":[85],"on":[86,91,136,153,160,193,205],"full":[88],"dataset":[89,94,139],"reduced":[93,138],"obtained":[95],"by":[96,157,183],"subsampling":[97],"dimensionality":[99],"reduction.":[100],"Accordingly,":[101],"we":[102,197],"propose":[103],"T":[105],"wo-":[106],"S":[107,115],"tage":[108],"framework":[109],"for":[110,174],"C":[111],"ombined":[112],"A":[113],"lgorithm":[114],"election":[116],"H":[118],"yperparameter":[119],"(":[121],"TS-CASH":[122,200],")":[123],"this":[125],"paper.":[126],"The":[127,219],"first":[128],"stage":[129,151],"aims":[130],"efficiently":[132],"evaluate":[133],"identify":[141],"promising":[142],"while":[144],"minimizing":[145],"computational":[146],"cost,":[147],"second":[150],"focuses":[152],"pruning":[155,167],"followed":[156],"pruned":[162],"space.":[164],"This":[165],"strategic":[166],"leads":[168],"more":[171],"focused":[172],"hyperparameters,":[178],"shrinking":[179],"space":[182],"up":[184],"76%":[186],"practice.":[188],"systematic":[190],"experimental":[191,223],"evaluations":[192],"30":[194],"tasks,":[196],"demonstrate":[198],"outperforms":[201],"state-of-the-art":[202],"CASH":[203],"methods":[204],"roughly":[206],"67%\u201373%":[207],"tasks":[210],"with":[211],"only":[212],"slight":[214],"increase":[215],"time":[217],"overhead.":[218],"source":[220],"code":[221],"data":[224],"are":[225],"publicly":[226],"available":[227],"at":[228],"https://github.com/ACMISLab/TS-CASH":[229],".":[230]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-02-25T00:00:00"}
