{"id":"https://openalex.org/W7167902017","doi":"https://doi.org/10.1145/3795095.3805097","title":"Interpretable Algorithm Selection via Multi-Objective Evolutionary Decision Trees","display_name":"Interpretable Algorithm Selection via Multi-Objective Evolutionary Decision Trees","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167902017","doi":"https://doi.org/10.1145/3795095.3805097"},"language":null,"primary_location":{"id":"doi:10.1145/3795095.3805097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805097","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3795095.3805097","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058825850","display_name":"Matheus Guedes Vilas Boas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102163","display_name":"Instituto Federal do Sul de Minas","ror":"https://ror.org/01drtms03","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210102163"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus Guedes Vilas Boas","raw_affiliation_strings":["Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Sul de Minas Gerais, Machado, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9508-0530","affiliations":[{"raw_affiliation_string":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Sul de Minas Gerais, Machado, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I4210102163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074650590","display_name":"Elizabeth F. Wanner","orcid":"https://orcid.org/0000-0001-6450-3043"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]},{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]},{"id":"https://openalex.org/I4210107309","display_name":"Faculdade de Ci\u00eancias M\u00e9dicas de Minas Gerais","ror":"https://ror.org/01p7p3890","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210107309"]},{"id":"https://openalex.org/I4210136482","display_name":"Federal Center for Technological Education of Minas Gerais","ror":"https://ror.org/04ch49185","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210136482"]}],"countries":["BR","GB"],"is_corresponding":false,"raw_author_name":"Elizabeth Wanner","raw_affiliation_strings":["CSDT School, Aston University, Birmingham, Birmingham, United Kingdom","PPGMMC, CEFET-MG, Brazil, Belo Horizonte, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-6450-3043","affiliations":[{"raw_affiliation_string":"CSDT School, Aston University, Birmingham, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I169199633"]},{"raw_affiliation_string":"PPGMMC, CEFET-MG, Brazil, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422","https://openalex.org/I4210107309","https://openalex.org/I4210136482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015111666","display_name":"Gladston Moreira","orcid":"https://orcid.org/0000-0001-7747-5926"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gladston Juliano Prates Moreira","raw_affiliation_strings":["Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7747-5926","affiliations":[{"raw_affiliation_string":"Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I10824318"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92564777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.7990999817848206,"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":0.7990999817848206,"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":0.055399999022483826,"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":0.05420000106096268,"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/robustness","display_name":"Robustness (evolution)","score":0.6035000085830688},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5788999795913696},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5577999949455261},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4894999861717224},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4691999852657318},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4562999904155731},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4521999955177307},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4065000116825104},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3736000061035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600000262260437},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6035000085830688},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5577999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45559999346733093},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36489999294281006},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.2825999855995178},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3795095.3805097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805097","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3795095.3805097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795095.3805097","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4732504189014435,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1471542436","https://openalex.org/W1495775210","https://openalex.org/W1974709582","https://openalex.org/W2034438127","https://openalex.org/W2077278144","https://openalex.org/W2110373411","https://openalex.org/W2126105956","https://openalex.org/W2133990480","https://openalex.org/W2149706766","https://openalex.org/W2596323251","https://openalex.org/W2604736517","https://openalex.org/W2606593865","https://openalex.org/W2898873842","https://openalex.org/W2955948801"],"related_works":[],"abstract_inverted_index":{"The":[0,33],"Algorithm":[1,123],"Selection":[2,124],"Problem":[3],"(ASP)":[4],"aims":[5],"to":[6,26,86],"identify":[7],"the":[8,37,47,93,98,121,132,152],"most":[9],"suitable":[10],"algorithm":[11],"for":[12,31],"a":[13,21,55,102],"given":[14],"problem":[15],"instance.":[16],"This":[17],"paper":[18],"introduces":[19],"MODT-ASP,":[20],"multi-objective":[22],"evolutionary":[23],"framework":[24],"designed":[25],"construct":[27],"interpretable":[28],"decision":[29],"trees":[30],"ASP.":[32],"proposed":[34,99,133],"approach":[35,134],"overcomes":[36],"limitations":[38],"of":[39,49,97,141],"existing":[40],"methods,":[41],"such":[42],"as":[43],"scalability":[44],"constraints":[45],"and":[46,59,71,95,110,145],"challenge":[48],"balancing":[50],"competing":[51],"objectives,":[52],"by":[53],"employing":[54],"customized":[56],"encoding":[57],"scheme":[58],"specialized":[60],"genetic":[61],"operators.":[62],"These":[63,155],"components":[64],"effectively":[65],"explore":[66],"trade-offs":[67],"between":[68],"predictive":[69],"accuracy":[70],"model":[72],"complexity":[73],"via":[74],"Pareto":[75],"optimization.":[76],"An":[77],"enhanced":[78],"version,":[79],"EMODT-ASP,":[80],"further":[81],"integrates":[82],"refined":[83],"control":[84],"mechanisms":[85],"improve":[87],"generalization.":[88],"Comprehensive":[89],"experimental":[90],"evaluations":[91],"demonstrate":[92],"robustness":[94],"effectiveness":[96],"framework.":[100],"In":[101],"large-scale":[103],"linear":[104],"programming":[105],"benchmark":[106],"comprising":[107],"1,004":[108],"problems":[109],"532":[111],"algorithms,":[112],"MODT-ASP":[113],"consistently":[114],"produces":[115],"high-quality":[116],"Pareto-optimal":[117],"solutions.":[118],"Furthermore,":[119],"in":[120,151],"Open":[122],"Challenge":[125],"(OASC),":[126],"evaluated":[127],"across":[128],"8":[129,142],"heterogeneous":[130],"scenarios,":[131],"achieves":[135],"third":[136],"place":[137],"overall,":[138],"outperforming":[139],"6":[140],"OASC":[143],"competitors":[144],"all":[146],"3":[147],"IP+VND":[148],"variants":[149],"reported":[150],"recent":[153],"literature.":[154],"results":[156],"confirm":[157],"its":[158],"strong":[159],"cross-domain":[160],"applicability.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-11T00:00:00"}
