{"id":"https://openalex.org/W4413209211","doi":"https://doi.org/10.1145/3712255.3726761","title":"Transformer-Guided Genetic Programming for Symbolic Regression","display_name":"Transformer-Guided Genetic Programming for Symbolic Regression","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4413209211","doi":"https://doi.org/10.1145/3712255.3726761"},"language":"en","primary_location":{"id":"doi:10.1145/3712255.3726761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726761","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":null,"display_name":"Chao Xu","orcid":"https://orcid.org/0009-0008-2758-3812"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-2758-3812","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080982233","display_name":"Junlan Dong","orcid":"https://orcid.org/0000-0003-0202-5167"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Dong","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0202-5167","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanqiao Lv","orcid":"https://orcid.org/0009-0002-8565-7257"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqiao Lv","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-8565-7257","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081658553","display_name":"Jinghui Zhong","orcid":"https://orcid.org/0000-0003-0113-3430"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Zhong","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0113-3430","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16652867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"663","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":1.0,"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":0.9950000047683716,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.8728526830673218},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7761359214782715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314564943313599},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4892253875732422},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4141216576099396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30645105242729187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2469942271709442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13373792171478271},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09697827696800232}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.8728526830673218},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7761359214782715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314564943313599},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4892253875732422},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4141216576099396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30645105242729187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2469942271709442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13373792171478271},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09697827696800232},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712255.3726761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712255.3726761","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":4,"referenced_works":["https://openalex.org/W1989549121","https://openalex.org/W2059396387","https://openalex.org/W4289765664","https://openalex.org/W4410846514"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W2610450612","https://openalex.org/W2549153708","https://openalex.org/W1964607451","https://openalex.org/W2897801744","https://openalex.org/W2147355282","https://openalex.org/W2394133867"],"abstract_inverted_index":{"Genetic":[0],"programming":[1],"(GP)":[2],"algorithms":[3],"are":[4,89],"widely":[5],"used":[6],"for":[7],"solving":[8],"symbolic":[9,83],"regression":[10],"(SR)":[11],"problems.":[12],"However,":[13],"traditional":[14],"GP":[15,105],"struggles":[16],"to":[17,30,67,72,95],"effectively":[18],"leverage":[19],"knowledge":[20,94],"gained":[21],"from":[22],"previous":[23],"tasks":[24],"when":[25],"tackling":[26],"new":[27],"ones,":[28],"leading":[29],"inefficient":[31],"search":[32],"processes.":[33],"At":[34],"the":[35,38,74,104,115,118,121],"same":[36],"time,":[37],"Transformer":[39],"architecture":[40],"has":[41],"demonstrated":[42],"superior":[43],"performance":[44],"through":[45],"extensive":[46],"experimental":[47],"validation.":[48],"To":[49],"address":[50],"this":[51,64],"issue,":[52],"we":[53],"propose":[54],"a":[55,69],"novel":[56],"approach":[57],"called":[58],"Transformer-GP.":[59],"The":[60,85],"core":[61],"idea":[62],"behind":[63],"method":[65],"is":[66],"train":[68],"Transformer-Tree":[70],"model":[71],"learn":[73],"distribution":[75],"characteristics":[76],"of":[77,120],"node":[78],"and":[79,101,114],"edge":[80],"components":[81],"in":[82],"trees.":[84],"model's":[86],"predicted":[87],"outputs":[88],"subsequently":[90],"utilized":[91],"as":[92],"prior":[93],"guide":[96],"genetic":[97],"operations,":[98],"including":[99],"initialization":[100],"mutation,":[102],"within":[103],"population.":[106],"We":[107],"conducted":[108],"experiments":[109],"on":[110],"12":[111],"benchmark":[112],"problems,":[113],"results":[116],"demonstrate":[117],"effectiveness":[119],"proposed":[122],"method.":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}