{"id":"https://openalex.org/W2953869332","doi":"https://doi.org/10.1145/3321707.3321793","title":"Batch tournament selection for genetic programming","display_name":"Batch tournament selection for genetic programming","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2953869332","doi":"https://doi.org/10.1145/3321707.3321793","mag":"2953869332"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321793","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321793","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":null,"license_id":null,"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":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031032375","display_name":"Vin\u00edcius Veloso de Melo","orcid":"https://orcid.org/0000-0002-7507-1685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vin\u00edcius V. de Melo","raw_affiliation_strings":["SkipTheDishes Restaurant Services Inc., Winnipeg, MB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SkipTheDishes Restaurant Services Inc., Winnipeg, MB, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045997649","display_name":"Danilo Vargas","orcid":"https://orcid.org/0000-0002-0232-0740"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Danilo Vasconcellos Vargas","raw_affiliation_strings":["Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004837138","display_name":"Wolfgang Banzhaf","orcid":"https://orcid.org/0000-0002-6382-3245"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wolfgang Banzhaf","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0975,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83334822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"994","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":0.9983000159263611,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tournament-selection","display_name":"Tournament selection","score":0.9423401355743408},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.8316813707351685},{"id":"https://openalex.org/keywords/tournament","display_name":"Tournament","score":0.7854018211364746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454165577888489},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5968795418739319},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5941762328147888},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5148159861564636},{"id":"https://openalex.org/keywords/fitness-proportionate-selection","display_name":"Fitness proportionate selection","score":0.4667890965938568},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4644359052181244},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.39112770557403564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3135698437690735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30832812190055847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2259359359741211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15538814663887024}],"concepts":[{"id":"https://openalex.org/C165661538","wikidata":"https://www.wikidata.org/wiki/Q7829327","display_name":"Tournament selection","level":3,"score":0.9423401355743408},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.8316813707351685},{"id":"https://openalex.org/C136975688","wikidata":"https://www.wikidata.org/wiki/Q1320634","display_name":"Tournament","level":2,"score":0.7854018211364746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454165577888489},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5968795418739319},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5941762328147888},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5148159861564636},{"id":"https://openalex.org/C99701942","wikidata":"https://www.wikidata.org/wiki/Q5455479","display_name":"Fitness proportionate selection","level":4,"score":0.4667890965938568},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4644359052181244},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.39112770557403564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3135698437690735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30832812190055847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2259359359741211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15538814663887024},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3321707.3321793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321793","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321793","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"mag:2936746926","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.08658v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"doi:10.1145/3321707.3321793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321793","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321793","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":null,"license_id":null,"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":[],"awards":[{"id":"https://openalex.org/G4062454350","display_name":null,"funder_award_id":"JP-50166","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953869332.pdf","grobid_xml":"https://content.openalex.org/works/W2953869332.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W157468466","https://openalex.org/W278743092","https://openalex.org/W1568834902","https://openalex.org/W1966001515","https://openalex.org/W1978661986","https://openalex.org/W2009219975","https://openalex.org/W2011174137","https://openalex.org/W2034068348","https://openalex.org/W2065283689","https://openalex.org/W2072473332","https://openalex.org/W2093646420","https://openalex.org/W2124075251","https://openalex.org/W2169840877","https://openalex.org/W2235175863","https://openalex.org/W2409246021","https://openalex.org/W2484166844","https://openalex.org/W3098382816","https://openalex.org/W3101261539"],"related_works":["https://openalex.org/W2350426988","https://openalex.org/W2135808265","https://openalex.org/W1589065806","https://openalex.org/W3029891807","https://openalex.org/W1572785861","https://openalex.org/W1571917368","https://openalex.org/W1799308535","https://openalex.org/W2909372716","https://openalex.org/W2080638133","https://openalex.org/W140783093"],"abstract_inverted_index":{"Lexicase":[0],"selection":[1,18,41,52,74,94],"achieves":[2],"very":[3],"good":[4],"solution":[5],"quality":[6,57],"by":[7],"introducing":[8],"ordered":[9,109],"test":[10,110],"cases.":[11],"However,":[12],"the":[13,118,123,137,141],"computational":[14],"complexity":[15],"of":[16,37,47,58,64,77,85,125,143,151],"lexicase":[17,40,51,73,93],"can":[19],"prohibit":[20],"its":[21],"use":[22],"in":[23,75,99],"many":[24],"applications.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"introduce":[30],"Batch":[31],"Tournament":[32],"Selection":[33],"(BTS),":[34],"a":[35,55,62,83,148],"hybrid":[36],"tournament":[38],"and":[39,92,102,108],"which":[42,116],"is":[43],"approximately":[44],"one":[45],"order":[46],"magnitude":[48],"faster":[49],"than":[50],"while":[53,81],"achieving":[54],"competitive":[56],"solutions.":[59],"Tests":[60],"on":[61],"number":[63],"regression":[65],"datasets":[66],"show":[67],"that":[68,106,133],"BTS":[69,91],"compares":[70],"well":[71],"with":[72],"terms":[76],"mean":[78],"absolute":[79],"error":[80],"having":[82],"speed-up":[84],"up":[86,147],"to":[87,155],"25":[88],"times.":[89],"Surprisingly,":[90],"have":[95],"almost":[96],"no":[97],"difference":[98],"both":[100],"diversity":[101],"performance.":[103],"This":[104,127],"reveals":[105],"batches":[107],"cases":[111],"are":[112],"completely":[113],"different":[114],"mechanisms":[115],"share":[117],"same":[119],"general":[120],"principle":[121],"fostering":[122],"specialization":[124],"individuals.":[126],"work":[128],"introduces":[129],"an":[130],"efficient":[131],"algorithm":[132],"sheds":[134],"light":[135],"onto":[136],"main":[138],"principles":[139],"behind":[140],"success":[142],"lexicase,":[144],"potentially":[145],"opening":[146],"new":[149],"range":[150],"possibilities":[152],"for":[153],"algorithms":[154],"come.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
