{"id":"https://openalex.org/W7158231839","doi":"https://doi.org/10.48550/arxiv.2604.24968","title":"The Effects of Population Size on the Performance of BEAGLE GPU-Based Genetic Programming Runs","display_name":"The Effects of Population Size on the Performance of BEAGLE GPU-Based Genetic Programming Runs","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7158231839","doi":"https://doi.org/10.48550/arxiv.2604.24968"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.24968","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24968","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.24968","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134851503","display_name":"Nathan Haut","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haut, Nathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134848736","display_name":"Ilya Basin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basin, Ilya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134873727","display_name":"Ruchika Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Ruchika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117250389","display_name":"Marzieh Kianinejad","orcid":"https://orcid.org/0000-0001-6318-479X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kianinejad, Marzieh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092935033","display_name":"Zachary Perrico","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perrico, Zachary","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129494731","display_name":"Elijah Smith","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smith, Elijah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134830426","display_name":"Wolfgang Banzhaf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Banzhaf, Wolfgang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9921000003814697,"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":0.9921000003814697,"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":0.002300000051036477,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.0005000000237487257,"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/genetic-programming","display_name":"Genetic programming","score":0.7314000129699707},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6696000099182129},{"id":"https://openalex.org/keywords/population-size","display_name":"Population size","score":0.6086999773979187},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.520799994468689},{"id":"https://openalex.org/keywords/beagle","display_name":"Beagle","score":0.4837000072002411},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.43050000071525574}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7314000129699707},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.6086999773979187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5422999858856201},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.520799994468689},{"id":"https://openalex.org/C2776820430","wikidata":"https://www.wikidata.org/wiki/Q21102","display_name":"Beagle","level":2,"score":0.4837000072002411},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36329999566078186},{"id":"https://openalex.org/C3641667","wikidata":"https://www.wikidata.org/wiki/Q1295959","display_name":"Effective population size","level":4,"score":0.3352999985218048},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33059999346733093},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29660001397132874},{"id":"https://openalex.org/C57615671","wikidata":"https://www.wikidata.org/wiki/Q5532911","display_name":"Genetic monitoring","level":5,"score":0.27480000257492065},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.24968","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24968","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.24968","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24968","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"Beagle":[1],"framework,":[2],"through":[3],"GPU-based":[4],"Genetic":[5,18],"Programming,":[6],"enables":[7],"population":[8,26,41,81],"dynamics":[9],"previously":[10],"unattainable":[11],"(within":[12],"practical":[13],"time":[14],"frames)":[15],"by":[16],"CPU-constrained":[17],"Programming":[19],"systems.":[20],"This":[21],"work":[22],"explores":[23],"how":[24],"GPU-enabled":[25],"sizes":[27,82],"impact":[28],"the":[29,95],"success":[30],"of":[31,46,99],"training":[32],"for":[33,58],"symbolic":[34],"regression":[35],"problems.":[36],"Specifically,":[37],"when":[38],"using":[39,47],"constant":[40],"sizes,":[42],"we":[43],"see":[44],"benefits":[45],"very":[48,66],"narrow":[49,54],"and":[50,68,88,97],"deep":[51],"searches":[52,70],"(as":[53,71],"as":[55,73],"1000":[56],"individuals)":[57],"some":[59],"problems,":[60],"while":[61],"other":[62],"problems":[63],"benefit":[64],"from":[65],"broad":[67,72],"shallow":[69],"10":[74],"million":[75],"individuals).":[76],"We":[77],"also":[78],"explore":[79],"stepped":[80],"that":[83],"start":[84],"with":[85],"large":[86],"populations":[87,92],"drop":[89],"to":[90,93],"small":[91],"balance":[94],"breadth":[96],"depth":[98],"search.":[100]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-30T00:00:00"}
