{"id":"https://openalex.org/W4402289342","doi":"https://doi.org/10.1007/978-3-031-70068-2_6","title":"Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and\u00a0Classification","display_name":"Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and\u00a0Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402289342","doi":"https://doi.org/10.1007/978-3-031-70068-2_6"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-70068-2_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70068-2_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-70068-2_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-70068-2_6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088845855","display_name":"Fu Xing Long","orcid":"https://orcid.org/0000-0003-4550-5777"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]},{"id":"https://openalex.org/I210716285","display_name":"University of Applied Sciences Leiden","ror":"https://ror.org/0093src13","country_code":"NL","type":"education","lineage":["https://openalex.org/I210716285"]},{"id":"https://openalex.org/I4210156768","display_name":"BMW Group (Germany)","ror":"https://ror.org/044kkbh92","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210156768"]}],"countries":["DE","NL"],"is_corresponding":true,"raw_author_name":"Fu Xing Long","raw_affiliation_strings":["BMW Group, Knorrstra\u00dfe 147, 80788, Munich, Germany","LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4550-5777","affiliations":[{"raw_affiliation_string":"BMW Group, Knorrstra\u00dfe 147, 80788, Munich, Germany","institution_ids":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]},{"raw_affiliation_string":"LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands","institution_ids":["https://openalex.org/I210716285","https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000118913","display_name":"Moritz Frenzel","orcid":"https://orcid.org/0000-0002-4025-8773"},"institutions":[{"id":"https://openalex.org/I1315810332","display_name":"Altair Engineering (United States)","ror":"https://ror.org/05939ef94","country_code":"US","type":"company","lineage":["https://openalex.org/I1315810332"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moritz Frenzel","raw_affiliation_strings":["Altair Engineering GmbH, Calwer Stra\u00dfe 7, 71034, B\u00f6blingen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4025-8773","affiliations":[{"raw_affiliation_string":"Altair Engineering GmbH, Calwer Stra\u00dfe 7, 71034, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I1315810332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071275400","display_name":"Peter Krause","orcid":"https://orcid.org/0000-0001-8302-0100"},"institutions":[{"id":"https://openalex.org/I4210098062","display_name":"Fraunhofer Institute for Material Flow and Logistics","ror":"https://ror.org/00z7dje19","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210098062","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Krause","raw_affiliation_strings":["Divis Intelligent Solutions GmbH, Joseph-von-Fraunhofer-Stra\u00dfe 20, 44227, Dortmund, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8302-0100","affiliations":[{"raw_affiliation_string":"Divis Intelligent Solutions GmbH, Joseph-von-Fraunhofer-Stra\u00dfe 20, 44227, Dortmund, Germany","institution_ids":["https://openalex.org/I4210098062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088083112","display_name":"Markus Gitterle","orcid":"https://orcid.org/0000-0001-8760-1682"},"institutions":[{"id":"https://openalex.org/I174004417","display_name":"Munich University of Applied Sciences","ror":"https://ror.org/012k1v959","country_code":"DE","type":"education","lineage":["https://openalex.org/I174004417"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Gitterle","raw_affiliation_strings":["Munich University of Applied Sciences, Dachauer Stra\u00dfe 98b, 80335, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8760-1682","affiliations":[{"raw_affiliation_string":"Munich University of Applied Sciences, Dachauer Stra\u00dfe 98b, 80335, Munich, Germany","institution_ids":["https://openalex.org/I174004417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I210716285","display_name":"University of Applied Sciences Leiden","ror":"https://ror.org/0093src13","country_code":"NL","type":"education","lineage":["https://openalex.org/I210716285"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas B\u00e4ck","raw_affiliation_strings":["LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands","Leiden University, LEIDEN, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-6768-1478","affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands","institution_ids":["https://openalex.org/I210716285","https://openalex.org/I121797337"]},{"raw_affiliation_string":"Leiden University, LEIDEN, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003248571","display_name":"Bas van Stein","orcid":"https://orcid.org/0000-0002-0013-7969"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I210716285","display_name":"University of Applied Sciences Leiden","ror":"https://ror.org/0093src13","country_code":"NL","type":"education","lineage":["https://openalex.org/I210716285"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Niki van Stein","raw_affiliation_strings":["LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0013-7969","affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Niels Bohrweg 1, 2333, Leiden, Netherlands","institution_ids":["https://openalex.org/I210716285","https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088845855"],"corresponding_institution_ids":["https://openalex.org/I121797337","https://openalex.org/I1283382300","https://openalex.org/I210716285","https://openalex.org/I4210156768"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.4909,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83697519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9894999861717224,"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":0.9890999794006348,"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":0.825592041015625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47854381799697876},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4692549407482147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.454312801361084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3850753903388977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3360942006111145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15408453345298767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09369969367980957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825592041015625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47854381799697876},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4692549407482147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.454312801361084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3850753903388977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3360942006111145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15408453345298767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09369969367980957}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-70068-2_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70068-2_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-70068-2_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_4254684","is_oa":true,"landing_page_url":"https://hdl.handle.net/1887/4254684","pdf_url":"https://scholarlypublications.universiteitleiden.nl/access/item%3A4254685/view","source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lecture Notes in Computer Science -- Parallel problem solving from nature","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-70068-2_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70068-2_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-70068-2_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323383","display_name":"Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/02kkvpp62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402289342.pdf","grobid_xml":"https://content.openalex.org/works/W4402289342.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W243319620","https://openalex.org/W1972278817","https://openalex.org/W1976355201","https://openalex.org/W2063966510","https://openalex.org/W2095314857","https://openalex.org/W2102539288","https://openalex.org/W2112036188","https://openalex.org/W2127143521","https://openalex.org/W2150337126","https://openalex.org/W2314046539","https://openalex.org/W2750236386","https://openalex.org/W2768617563","https://openalex.org/W2808285930","https://openalex.org/W2809695261","https://openalex.org/W2956431529","https://openalex.org/W3039634465","https://openalex.org/W3089517171","https://openalex.org/W3095394819","https://openalex.org/W3123511746","https://openalex.org/W3158104973","https://openalex.org/W3182025093","https://openalex.org/W3199199693","https://openalex.org/W4225004000","https://openalex.org/W4285734558","https://openalex.org/W4285805295","https://openalex.org/W4291270662","https://openalex.org/W4323697105","https://openalex.org/W4362725068","https://openalex.org/W4362725230","https://openalex.org/W4385188893","https://openalex.org/W4385191582","https://openalex.org/W4388877185","https://openalex.org/W4391777556","https://openalex.org/W4399907340"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract":[0],"In":[1,23],"landscape-aware":[2],"algorithm":[3,64,73],"selection":[4],"problem,":[5],"the":[6,15,28,36,52,70,80,89,99,124,141,148,151,164,170],"effectiveness":[7],"of":[8,17,30,46,83,91,147,194],"feature-based":[9],"predictive":[10],"models":[11,96,189],"strongly":[12],"depends":[13],"on":[14,62,79,120,123,191],"representativeness":[16],"training":[18,108],"data":[19,109],"for":[20,35],"practical":[21],"applications.":[22],"this":[24],"work,":[25],"we":[26,60,87],"investigate":[27],"potential":[29],"randomly":[31],"generated":[32],"functions":[33,126],"(RGF)":[34],"model":[37],"training,":[38],"which":[39,144],"cover":[40],"a":[41,192],"much":[42],"more":[43],"diverse":[44],"set":[45],"optimization":[47,55],"problem":[48,84],"classes":[49],"compared":[50],"to":[51],"widely-used":[53],"black-box":[54],"benchmarking":[56],"(BBOB)":[57],"suite.":[58],"Correspondingly,":[59],"focus":[61],"automated":[63],"configuration":[65,154],"(AAC),":[66],"that":[67],"is,":[68],"selecting":[69],"best":[71,172,184],"suited":[72],"and":[74,103,114,130,196],"fine-tuning":[75],"its":[76],"hyperparameters":[77],"based":[78],"landscape":[81],"features":[82],"instances.":[85],"Precisely,":[86],"analyze":[88],"performance":[90,181],"dense":[92],"neural":[93],"network":[94],"(NN)":[95],"in":[97,127,174],"handling":[98],"multi-output":[100],"mixed":[101],"regression":[102],"classification":[104],"tasks":[105],"using":[106,140,187],"different":[107],"sets,":[110],"such":[111],"as":[112],"RGF":[113,195],"many-affine":[115],"BBOB":[116,125],"(MA-BBOB)":[117],"functions.":[118,198],"Based":[119],"our":[121],"results":[122],"5":[128],"d":[129,132],"20":[131],",":[133],"near":[134],"optimal":[135],"configurations":[136,166,178],"can":[137,145,182],"be":[138,183],"identified":[139,185],"proposed":[142],"approach,":[143],"most":[146],"time":[149],"outperform":[150],"off-the-shelf":[152],"default":[153],"considered":[155],"by":[156,186],"practitioners":[157],"with":[158,179],"limited":[159],"knowledge":[160],"about":[161],"AAC.":[162],"Furthermore,":[163],"predicted":[165],"are":[167],"competitive":[168],"against":[169],"single":[171],"solver":[173],"many":[175],"cases.":[176],"Overall,":[177],"better":[180],"NN":[188],"trained":[190],"combination":[193],"MA-BBOB":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
