{"id":"https://openalex.org/W1984179386","doi":"https://doi.org/10.1109/cig.2008.5035642","title":"Ensemble approaches in evolutionary game strategies: A case study in Othello","display_name":"Ensemble approaches in evolutionary game strategies: A case study in Othello","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W1984179386","doi":"https://doi.org/10.1109/cig.2008.5035642","mag":"1984179386"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2008.5035642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","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/A5076055880","display_name":"Kyung-Joong Kim","orcid":"https://orcid.org/0000-0002-7732-0817"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyung-Joong Kim","raw_affiliation_strings":["Department of mechanical and aerospace engineering, Cornell University, Ithaca, NY, USA","Dept. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY"],"affiliations":[{"raw_affiliation_string":"Department of mechanical and aerospace engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Dept. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108081550","display_name":"Sung\u2010Bae Cho","orcid":"https://orcid.org/0000-0002-7027-2429"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Department of computer science, Yonsei University, Seoul, South Korea","Department of computer science, Yonsei University, Seoul 120-749, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of computer science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of computer science, Yonsei University, Seoul 120-749, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076055880"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.1441,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8326762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"212","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9988999962806702,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9988999962806702,"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":0.9988999962806702,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9775999784469604,"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/ensemble-learning","display_name":"Ensemble learning","score":0.7355971336364746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794853210449219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015823483467102},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5582051873207092},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5191071033477783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48777323961257935},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.46801578998565674},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.45946407318115234},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.43666568398475647},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41216665506362915}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7355971336364746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794853210449219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015823483467102},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5582051873207092},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5191071033477783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48777323961257935},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.46801578998565674},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.45946407318115234},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.43666568398475647},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41216665506362915},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/cig.2008.5035642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium On Computational Intelligence and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W98056105","https://openalex.org/W105291866","https://openalex.org/W1551923895","https://openalex.org/W1967181812","https://openalex.org/W1988300769","https://openalex.org/W2032442397","https://openalex.org/W2045846579","https://openalex.org/W2055178087","https://openalex.org/W2062018071","https://openalex.org/W2072701327","https://openalex.org/W2100128988","https://openalex.org/W2119686349","https://openalex.org/W2120321164","https://openalex.org/W2123240248","https://openalex.org/W2124868070","https://openalex.org/W2133067606","https://openalex.org/W2135585837","https://openalex.org/W2139385677","https://openalex.org/W2145833756","https://openalex.org/W2152150600","https://openalex.org/W2155953385","https://openalex.org/W2163983382","https://openalex.org/W2167055186","https://openalex.org/W2167917621","https://openalex.org/W2170588376","https://openalex.org/W2211617018","https://openalex.org/W2486609979","https://openalex.org/W2487087946","https://openalex.org/W2496050832","https://openalex.org/W2904250082","https://openalex.org/W3023540311","https://openalex.org/W4285719527","https://openalex.org/W6688055937"],"related_works":["https://openalex.org/W4250606376","https://openalex.org/W2794896638","https://openalex.org/W4245579487","https://openalex.org/W2900645952","https://openalex.org/W2891633941","https://openalex.org/W2511867030","https://openalex.org/W2510912342","https://openalex.org/W4235939038","https://openalex.org/W2754926431","https://openalex.org/W2979309038"],"abstract_inverted_index":{"In":[0,77],"pattern":[1],"recognition":[2],"area,":[3],"an":[4,40,122],"ensemble":[5,25,41,61,113,128,136,152,163],"approach":[6,26,137,153],"is":[7,20,42,129,138,166],"one":[8],"of":[9,16,36,47,62,72,114,121],"promising":[10],"methods":[11,100],"to":[12,22],"increase":[13],"the":[14,24,51,60,70,75,112,118,126,141,155,160],"accuracy":[15],"classification":[17],"systems.":[18],"It":[19],"interesting":[21],"use":[23],"in":[27,50,59,74],"evolving":[28],"game":[29,63,143],"strategies":[30,48],"because":[31],"they":[32],"maintain":[33],"a":[34,45,145],"population":[35],"solutions":[37],"simultaneously.":[38],"Simply,":[39],"formed":[43],"from":[44,159],"set":[46],"evolved":[49],"last":[52],"generation.":[53],"There":[54],"are":[55,94],"many":[56],"decision":[57],"factors":[58],"strategies:":[64],"evolutionary":[65,81],"algorithms,":[66],"fusion":[67,99],"methods,":[68],"and":[69,90,104,162],"selection":[71],"members":[73],"ensemble.":[76],"this":[78],"paper,":[79],"several":[80],"algorithms":[82],"(evolutionary":[83],"strategy,":[84],"simple":[85],"genetic":[86],"algorithm,":[87],"fitness":[88],"sharing,":[89],"deterministic":[91],"crowding":[92],"algorithm)":[93],"compared":[95],"with":[96,107,111,144],"three":[97],"representative":[98],"(majority":[101],"voting,":[102],"average,":[103],"weighted":[105],"average)":[106],"selective":[108,127],"ensembles":[109],"(compared":[110],"all":[115],"members).":[116],"Additionally,":[117],"computational":[119],"cost":[120],"exhaustive":[123],"search":[124],"for":[125],"reduced":[130],"by":[131],"introducing":[132],"multi-stage":[133],"evaluations.":[134],"The":[135,150],"tested":[139],"on":[140],"Othello":[142],"weight":[146],"piece":[147],"counter":[148],"representation.":[149],"proposed":[151],"outperforms":[154],"single":[156],"best":[157],"individual":[158],"evolution":[161],"searching":[164],"time":[165],"reasonable.":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
