{"id":"https://openalex.org/W2095537056","doi":"https://doi.org/10.1145/2330163.2330335","title":"A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms","display_name":"A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W2095537056","doi":"https://doi.org/10.1145/2330163.2330335","mag":"2095537056"},"language":"en","primary_location":{"id":"doi:10.1145/2330163.2330335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference on Genetic and evolutionary computation","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/A5039629929","display_name":"Rodrigo C. Barros","orcid":"https://orcid.org/0000-0002-0782-9482"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo C. Barros","raw_affiliation_strings":["University of Sao Paulo, S\u00e3o Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090283789","display_name":"M\u00e1rcio P. Basgalupp","orcid":"https://orcid.org/0000-0002-2005-1249"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rcio P. Basgalupp","raw_affiliation_strings":["Federal University of Sao Paulo, S\u00e3o Jos\u00e9 dos Campos, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Sao Paulo, S\u00e3o Jos\u00e9 dos Campos, Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079499583","display_name":"Andr\u00e9 C. P. L. F. de Carvalho","orcid":"https://orcid.org/0000-0002-4765-6459"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 C.P.L.F. de Carvalho","raw_affiliation_strings":["University of Sao Paulo, S\u00e3o Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087201377","display_name":"Alex A. Freitas","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex A. Freitas","raw_affiliation_strings":["University of Kent, Canterbury, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039629929"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":11.7435,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98186328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1237","last_page":"1244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9916999936103821,"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/decision-tree","display_name":"Decision tree","score":0.7641643285751343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514830827713013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.588927686214447},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5815693140029907},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.5808037519454956},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.5669803619384766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5664811134338379},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5353114604949951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5194201469421387},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4826720058917999},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33851349353790283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14229437708854675}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7641643285751343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514830827713013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.588927686214447},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5815693140029907},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.5808037519454956},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.5669803619384766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5664811134338379},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5353114604949951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5194201469421387},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4826720058917999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33851349353790283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14229437708854675},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2330163.2330335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.2266","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.2266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/GECCO-2012-Barros-2.pdf","raw_type":"text"},{"id":"pmh:oai:kar.kent.ac.uk:30803","is_oa":false,"landing_page_url":"https://kar.kent.ac.uk/30803/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book section"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W69407335","https://openalex.org/W94571269","https://openalex.org/W153647241","https://openalex.org/W1519169075","https://openalex.org/W1534707631","https://openalex.org/W1536647479","https://openalex.org/W1565746575","https://openalex.org/W1594031697","https://openalex.org/W1602363634","https://openalex.org/W1603456912","https://openalex.org/W1972953764","https://openalex.org/W1995875735","https://openalex.org/W1999011285","https://openalex.org/W2000950277","https://openalex.org/W2002135261","https://openalex.org/W2004276483","https://openalex.org/W2006345381","https://openalex.org/W2017900294","https://openalex.org/W2022672249","https://openalex.org/W2061842742","https://openalex.org/W2062390390","https://openalex.org/W2062882213","https://openalex.org/W2079944366","https://openalex.org/W2096059947","https://openalex.org/W2097961679","https://openalex.org/W2111022379","https://openalex.org/W2125055259","https://openalex.org/W2128420091","https://openalex.org/W2134266957","https://openalex.org/W2136000097","https://openalex.org/W2146313586","https://openalex.org/W2146424733","https://openalex.org/W2148239836","https://openalex.org/W2148423395","https://openalex.org/W2149706766","https://openalex.org/W2160109842","https://openalex.org/W2160671582","https://openalex.org/W2911964244","https://openalex.org/W2997546679","https://openalex.org/W3085162807","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W6603851545"],"related_works":["https://openalex.org/W1982169401","https://openalex.org/W2591672004","https://openalex.org/W2030894524","https://openalex.org/W1648970942","https://openalex.org/W4243803609","https://openalex.org/W4319437832","https://openalex.org/W4387869645","https://openalex.org/W957478802","https://openalex.org/W2356463514","https://openalex.org/W2350430350"],"abstract_inverted_index":{"Decision":[0],"tree":[1],"induction":[2,71],"is":[3,20],"one":[4],"of":[5,18,58,88],"the":[6,16,36,47,55,86],"most":[7,29],"employed":[8],"methods":[9],"to":[10,84,94],"extract":[11],"knowledge":[12,19],"from":[13],"data,":[14],"since":[15],"representation":[17],"very":[21],"intuitive":[22],"and":[23,90,101,114,119],"easily":[24],"understandable":[25],"by":[26,44],"humans.":[27],"The":[28],"successful":[30],"strategy":[31],"for":[32,67],"inducing":[33],"decision":[34],"trees,":[35],"greedy":[37],"top-down":[38],"approach,":[39],"has":[40],"been":[41],"continuously":[42],"improved":[43],"researchers":[45],"over":[46],"years.":[48],"This":[49],"work,":[50],"following":[51],"recent":[52],"breakthroughs":[53],"in":[54,79],"automatic":[56],"design":[57],"machine":[59],"learning":[60],"algorithms,":[61,72],"proposes":[62],"a":[63],"hyper-heuristic":[64],"evolutionary":[65],"algorithm":[66],"automatically":[68],"generating":[69],"decision-tree":[70,96],"named":[73],"HEAD-DT.":[74],"We":[75],"perform":[76],"extensive":[77],"experiments":[78],"20":[80],"public":[81],"data":[82],"sets":[83],"assess":[85],"performance":[87],"HEAD-DT,":[89],"we":[91],"compare":[92],"it":[93],"traditional":[95],"algorithms":[97,109],"such":[98],"as":[99],"C4.5":[100,113],"CART.":[102],"Results":[103],"show":[104],"that":[105,110],"HEAD-DT":[106],"can":[107],"generate":[108],"significantly":[111],"outperform":[112],"CART":[115],"regarding":[116],"predictive":[117],"accuracy":[118],"F-Measure.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}