{"id":"https://openalex.org/W4401416508","doi":"https://doi.org/10.1109/cec60901.2024.10612054","title":"GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms","display_name":"GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401416508","doi":"https://doi.org/10.1109/cec60901.2024.10612054"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10612054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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/A5072277519","display_name":"Florian Rupp","orcid":"https://orcid.org/0000-0002-5111-6041"},"institutions":[{"id":"https://openalex.org/I112756935","display_name":"Mannheim University of Applied Sciences","ror":"https://ror.org/04p61dj41","country_code":"DE","type":"education","lineage":["https://openalex.org/I112756935"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Florian Rupp","raw_affiliation_strings":["University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany","institution_ids":["https://openalex.org/I112756935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102658353","display_name":"Kai Eckert","orcid":null},"institutions":[{"id":"https://openalex.org/I112756935","display_name":"Mannheim University of Applied Sciences","ror":"https://ror.org/04p61dj41","country_code":"DE","type":"education","lineage":["https://openalex.org/I112756935"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Eckert","raw_affiliation_strings":["University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany","institution_ids":["https://openalex.org/I112756935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072277519"],"corresponding_institution_ids":["https://openalex.org/I112756935"],"apc_list":null,"apc_paid":null,"fwci":2.1822,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89190475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9854000210762024,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6330997347831726},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5599690079689026},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.515254557132721},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35354501008987427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26512449979782104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19627228379249573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330997347831726},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5599690079689026},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.515254557132721},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35354501008987427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26512449979782104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19627228379249573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10612054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W118696858","https://openalex.org/W1555295778","https://openalex.org/W2002558294","https://openalex.org/W2035073446","https://openalex.org/W2068664070","https://openalex.org/W2078291675","https://openalex.org/W2083590769","https://openalex.org/W2092735940","https://openalex.org/W2168115594","https://openalex.org/W2400283514","https://openalex.org/W2534314849","https://openalex.org/W2567176273","https://openalex.org/W2591091812","https://openalex.org/W2603016118","https://openalex.org/W2766774971","https://openalex.org/W2913341200","https://openalex.org/W2963653425","https://openalex.org/W2976850245","https://openalex.org/W3083573859","https://openalex.org/W3093621925","https://openalex.org/W3093908578","https://openalex.org/W4241314925","https://openalex.org/W4310922267","https://openalex.org/W4312433276","https://openalex.org/W4312669869","https://openalex.org/W4317987745","https://openalex.org/W4363651366","https://openalex.org/W4388135030","https://openalex.org/W4389296253","https://openalex.org/W4389315356"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W2887328214","https://openalex.org/W1560122427","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928","https://openalex.org/W2593449396"],"abstract_inverted_index":{"Game":[0],"economy":[1,115,162],"design":[2],"significantly":[3],"shapes":[4],"the":[5,35,140,150],"player":[6],"experience":[7],"and":[8,18,43,93,116,159,169,179],"progression":[9],"speed.":[10],"Modern":[11],"game":[12,70,91,161,195],"economies":[13,92,191],"are":[14,47,109],"becoming":[15],"increasingly":[16],"complex":[17],"can":[19],"be":[20],"very":[21],"sensitive":[22],"to":[23,88,111],"even":[24],"minor":[25],"numerical":[26],"adjustments,":[27],"which":[28],"may":[29],"have":[30],"an":[31,114],"unexpected":[32],"impact":[33],"on":[34,69,121,175],"overall":[36],"gaming":[37],"experience.":[38],"Consequently,":[39],"thorough":[40],"manual":[41],"testing":[42],"fine-tuning":[44],"during":[45],"development":[46],"essential.":[48],"Unlike":[49],"existing":[50,99],"works":[51],"that":[52],"address":[53],"algorithmic":[54],"balancing":[55,71,94,173,187],"for":[56,188],"specific":[57,78],"games":[58],"or":[59,98,128],"genres,":[60],"this":[61],"work":[62],"adopts":[63],"a":[64,77,86,103,157,176,182],"more":[65],"abstract":[66],"approach,":[67],"focusing":[68],"through":[72],"its":[73],"economy,":[74],"detached":[75],"from":[76,145],"game.":[79],"We":[80,133],"propose":[81],"GEEvo":[82,101],"(Game":[83],"Economy":[84],"Evolution),":[85],"framework":[87],"generate":[89,113],"graph-based":[90],"both,":[95],"newly":[96],"generated":[97,126,177],"economies.":[100],"uses":[102],"two-step":[104],"approach":[105],"where":[106],"evolutionary":[107],"algorithms":[108],"used":[110],"first":[112],"then":[117],"balance":[118],"it":[119],"based":[120],"specified":[122],"objectives,":[123],"such":[124],"as":[125],"resources":[127],"damage":[129,186],"dealt":[130],"over":[131],"time.":[132],"define":[134,156],"different":[135],"objectives":[136,174],"by":[137],"differently":[138],"parameterizing":[139],"fitness":[141],"function":[142],"using":[143],"data":[144],"multiple":[146],"simulation":[147,163],"runs":[148],"of":[149,192],"economy.":[151],"To":[152],"support":[153],"this,":[154],"we":[155,180],"lightweight":[158],"flexible":[160],"framework.":[164],"Our":[165],"method":[166],"is":[167],"tested":[168],"benchmarked":[170],"with":[171],"various":[172],"dataset,":[178],"conduct":[181],"case":[183],"study":[184],"evaluating":[185],"two":[189,193],"fictional":[190],"popular":[194],"character":[196],"classes.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
