{"id":"https://openalex.org/W3139041891","doi":"https://doi.org/10.1109/imcom51814.2021.9377427","title":"Search Method of Number of Trees for Genetic Programming with Multiple Trees","display_name":"Search Method of Number of Trees for Genetic Programming with Multiple Trees","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3139041891","doi":"https://doi.org/10.1109/imcom51814.2021.9377427","mag":"3139041891"},"language":"en","primary_location":{"id":"doi:10.1109/imcom51814.2021.9377427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom51814.2021.9377427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103469381","display_name":"Takashi Ito","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takashi Ito","raw_affiliation_strings":["Dept. of Industrial and Systems Engineering, Aoyama Gakuin University, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Industrial and Systems Engineering, Aoyama Gakuin University, Kanagawa, Japan","institution_ids":["https://openalex.org/I131231118"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103469381"],"corresponding_institution_ids":["https://openalex.org/I131231118"],"apc_list":null,"apc_paid":null,"fwci":0.1465,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3393667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9925000071525574,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7802786827087402},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6322202682495117},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6318970918655396},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6274332404136658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052320599555969},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5991125106811523},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5895345211029053},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5396163463592529},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4832683205604553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268348217010498},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3842282295227051},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.348442018032074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31826022267341614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24820908904075623},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16421949863433838},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12292864918708801},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1223340630531311}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7802786827087402},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6322202682495117},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6318970918655396},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6274332404136658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052320599555969},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5991125106811523},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5895345211029053},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5396163463592529},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4832683205604553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268348217010498},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3842282295227051},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.348442018032074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31826022267341614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24820908904075623},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16421949863433838},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12292864918708801},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1223340630531311},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom51814.2021.9377427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom51814.2021.9377427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1576818901","https://openalex.org/W2069730019","https://openalex.org/W2107354841","https://openalex.org/W2573519366","https://openalex.org/W2807770089","https://openalex.org/W2905707464","https://openalex.org/W2982493468","https://openalex.org/W3012187195","https://openalex.org/W3039810648","https://openalex.org/W6676010746"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W4294725171","https://openalex.org/W1485885287","https://openalex.org/W2139799987","https://openalex.org/W4384024076","https://openalex.org/W1578871554","https://openalex.org/W2077979447","https://openalex.org/W1562117546"],"abstract_inverted_index":{"Genetic":[0],"programming":[1],"(GP),":[2],"which":[3],"is":[4,9,137],"an":[5,26],"evolutionary":[6],"computational":[7],"method,":[8,28],"known":[10],"to":[11,63,116],"be":[12,64,71,110,165],"effective":[13],"for":[14,59,82,126,128],"agent":[15],"problems":[16],"because":[17,92,149],"individuals":[18],"are":[19,160,176],"represented":[20],"by":[21],"a":[22,80,105,124],"tree":[23,42],"structure.":[24],"As":[25],"extension":[27,114,170],"GP":[29],"with":[30,112,167],"control":[31],"nodes":[32],"(GPCN)":[33],"has":[34,40,62],"been":[35],"proposed.":[36,90,138],"Because":[37],"one":[38],"individual":[39],"multiple":[41],"structures,":[43],"GPCNcan":[44],"efficiently":[45],"evolve":[46],"and":[47,69,103,153],"obtain":[48],"highly":[49],"readable":[50],"behavioral":[51],"rules.":[52],"However,":[53,91],"the":[54,77,85,93,96,100,113,118,129,143,150,154,168,173],"number":[55,86,131],"of":[56,87,95,132,157],"trees":[57,88,133],"suitable":[58],"each":[60,158],"problem":[61],"manually":[65],"adjusted":[66],"in":[67],"advance":[68],"cannot":[70,109],"easily":[72],"applied":[73],"various":[74],"problems.":[75,182],"In":[76,121,172],"previous":[78,97],"study,":[79,123],"method":[81,94,125,141],"automatically":[83],"determining":[84],"have":[89],"study":[98],"changes":[99],"fitness":[101,155],"function":[102,156],"uses":[104],"special":[106],"population,":[107],"it":[108,163],"combined":[111,166],"methods":[115],"improve":[117],"evolution":[119],"performance.":[120],"this":[122],"searching":[127],"appropriate":[130],"using":[134,179],"three":[135,146],"islands":[136],"The":[139],"proposed":[140],"divides":[142],"population":[144],"into":[145],"islands,":[147],"but":[148],"genetic":[151],"operations":[152],"island":[159],"not":[161],"changed,":[162],"can":[164],"existing":[169],"methods.":[171],"experiments,":[174],"they":[175],"compared":[177],"these":[178],"two":[180],"benchmark":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}