{"id":"https://openalex.org/W2482337414","doi":"https://doi.org/10.1145/2908812.2908908","title":"Discovering Combos in Fighting Games with Evolutionary Algorithms","display_name":"Discovering Combos in Fighting Games with Evolutionary Algorithms","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2482337414","doi":"https://doi.org/10.1145/2908812.2908908","mag":"2482337414"},"language":"en","primary_location":{"id":"doi:10.1145/2908812.2908908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","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/A5053513489","display_name":"Gianlucca Zuin","orcid":"https://orcid.org/0000-0002-0429-3280"},"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"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gianlucca L. Zuin","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042139287","display_name":"Yuri P. A. Macedo","orcid":null},"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"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yuri P.A. Macedo","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073879771","display_name":"Luiz Chaimowicz","orcid":"https://orcid.org/0000-0001-8156-9941"},"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"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Chaimowicz","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009911024","display_name":"Gisele L. Pappa","orcid":"https://orcid.org/0000-0002-0349-4494"},"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"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gisele L. Pappa","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053513489"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":1.12750752,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90937198,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9993000030517578,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9993000030517578,"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/T11197","display_name":"Digital Games and Media","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064444422721863},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5931571125984192},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5746245980262756},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5535976886749268},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.552534282207489},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5515609979629517},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4862307608127594},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.45642727613449097},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45232683420181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4496845602989197},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4199276268482208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40419185161590576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3845529854297638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32917141914367676},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10273870825767517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064444422721863},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5931571125984192},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5746245980262756},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5535976886749268},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.552534282207489},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5515609979629517},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4862307608127594},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45642727613449097},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45232683420181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4496845602989197},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4199276268482208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40419185161590576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3845529854297638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32917141914367676},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10273870825767517},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908812.2908908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W574337830","https://openalex.org/W1497067594","https://openalex.org/W1585335425","https://openalex.org/W1842146513","https://openalex.org/W1971399377","https://openalex.org/W1993351732","https://openalex.org/W2005585892","https://openalex.org/W2048858894","https://openalex.org/W2052284542","https://openalex.org/W2052885930","https://openalex.org/W2105594594","https://openalex.org/W2144230296","https://openalex.org/W2160237541","https://openalex.org/W2224682476","https://openalex.org/W2561463014","https://openalex.org/W6616613950","https://openalex.org/W6634952865"],"related_works":["https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2550292406","https://openalex.org/W1606502848","https://openalex.org/W2164831575","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W2094658154","https://openalex.org/W2370837632"],"abstract_inverted_index":{"In":[0,88],"fighting":[1,76,104],"games,":[2,77],"players":[3],"can":[4,28,34],"perform":[5],"many":[6],"different":[7],"actions":[8,57],"at":[9],"each":[10],"instant":[11],"of":[12,19,22,25,41,48,56,95,120,122,145],"time,":[13],"leading":[14],"to":[15,30,72,99,110,115,137,163,170],"an":[16,96,126],"exponential":[17],"number":[18],"possible":[20,81],"sequences":[21,69,82,121],"actions.":[23],"Some":[24],"these":[26,42,68],"combinations":[27],"lead":[29],"unexpected":[31,43,165],"behaviors,":[32],"which":[33],"compromise":[35],"the":[36,46,65,93,131,148,152],"game":[37],"design.":[38],"One":[39],"example":[40],"behaviors":[44],"is":[45,70,83,109],"occurrence":[47],"long":[49,54],"or":[50],"infinite":[51],"combos,":[52,161],"a":[53,84,103,112,117,143],"sequence":[55],"that":[58,133,151],"does":[59],"not":[60,156],"allow":[61],"any":[62],"reactions":[63],"from":[64],"opponent.":[66],"Finding":[67],"essential":[71],"ensure":[73],"fairness":[74],"in":[75,159],"but":[78,167],"evaluating":[79],"all":[80],"time":[85],"consuming":[86],"task.":[87],"this":[89],"paper,":[90],"we":[91],"propose":[92],"use":[94,111],"evolutionary":[97],"algorithm":[98,114],"find":[100,164],"combos":[101],"on":[102],"game.":[105],"The":[106],"main":[107],"idea":[108],"genetic":[113],"evolve":[116],"population":[118],"composed":[119],"inputs":[123],"and,":[124],"using":[125],"adequate":[127],"fitness":[128],"function,":[129],"select":[130],"ones":[132],"are":[134],"more":[135],"suitable":[136],"be":[138],"considered":[139],"combos.":[140],"We":[141],"performed":[142],"series":[144],"experiments":[146],"and":[147],"results":[149],"show":[150],"proposed":[153],"approach":[154],"was":[155],"only":[157],"successful":[158],"finding":[160],"managing":[162],"sequences,":[166],"also":[168],"superior":[169],"previous":[171],"methods.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}