{"id":"https://openalex.org/W4412106372","doi":"https://doi.org/10.1145/3712256.3726383","title":"Improving Genetic Programming for Symbolic Regression with Equality Graphs","display_name":"Improving Genetic Programming for Symbolic Regression with Equality Graphs","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412106372","doi":"https://doi.org/10.1145/3712256.3726383"},"language":"en","primary_location":{"id":"doi:10.1145/3712256.3726383","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726383","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","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":"https://openalex.org/A5010769668","display_name":"Fabr\u00edcio Olivetti de Fran\u00e7a","orcid":"https://orcid.org/0000-0002-2741-8736"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabricio Olivetti de Fran\u00e7a","raw_affiliation_strings":["Universidade Federal do ABC, Santo Andre, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2741-8736","affiliations":[{"raw_affiliation_string":"Universidade Federal do ABC, Santo Andre, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019952173","display_name":"Gabriel Kronberger","orcid":"https://orcid.org/0000-0002-3012-3189"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gabriel Kronberger","raw_affiliation_strings":["University of Applied Sciences Upper Austria, Hagenberg, Austria"],"raw_orcid":"https://orcid.org/0000-0002-3012-3189","affiliations":[{"raw_affiliation_string":"University of Applied Sciences Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"989","last_page":"998"},"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":0.996399998664856,"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":0.9921000003814697,"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":0.9272721409797668},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7435235381126404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208575963973999},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3418056070804596},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.32990044355392456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32127678394317627}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.9272721409797668},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7435235381126404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208575963973999},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3418056070804596},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.32990044355392456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32127678394317627}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712256.3726383","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3712256.3726383","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6399999856948853,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G6126423125","display_name":null,"funder_award_id":"301596/2022-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1576818901","https://openalex.org/W1601913384","https://openalex.org/W1604434652","https://openalex.org/W2019625726","https://openalex.org/W2069403261","https://openalex.org/W2113735218","https://openalex.org/W2152397470","https://openalex.org/W2167159964","https://openalex.org/W2545884183","https://openalex.org/W2898459934","https://openalex.org/W2911409574","https://openalex.org/W3046457509","https://openalex.org/W3099525000","https://openalex.org/W3102183686","https://openalex.org/W3105989255","https://openalex.org/W3117137355","https://openalex.org/W3150767555","https://openalex.org/W4221127013","https://openalex.org/W4230202196","https://openalex.org/W4285805590","https://openalex.org/W4310981419","https://openalex.org/W4361767974","https://openalex.org/W4368303491","https://openalex.org/W4393107025","https://openalex.org/W4394708867","https://openalex.org/W4400314852","https://openalex.org/W4400412639","https://openalex.org/W4404939951","https://openalex.org/W4412106554"],"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":{"The":[0,61],"search":[1],"for":[2,145,185],"symbolic":[3],"regression":[4],"models":[5,184],"with":[6,160],"genetic":[7],"programming":[8],"(GP)":[9],"has":[10,85],"a":[11,58,65,154,169,186,194],"tendency":[12],"of":[13,47,69,81,90,108,131,153,174,189,196],"revisiting":[14,109],"expressions":[15,25,72],"in":[16,88,119],"their":[17,74,91],"original":[18],"or":[19],"equivalent":[20,24,75,93],"forms.":[21,94],"Repeatedly":[22],"evaluating":[23],"is":[26,64],"inefficient,":[27],"as":[28],"it":[29],"does":[30],"not":[31],"immediately":[32],"lead":[33],"to":[34,99,104,124,158],"better":[35],"solutions.":[36],"However,":[37],"evolutionary":[38],"algorithms":[39],"require":[40],"diversity":[41],"and":[42,73,162,178,193],"should":[43],"allow":[44],"the":[45,97,101,106,120,128,134,151,180],"accumulation":[46],"inactive":[48],"building":[49],"blocks":[50],"that":[51,136],"can":[52],"play":[53],"an":[54,78,83],"important":[55],"role":[56],"at":[57,179],"later":[59],"point.":[60],"equality":[62],"graph":[63],"data":[66],"structure":[67],"capable":[68,173],"compactly":[70],"storing":[71],"forms":[76],"allowing":[77,122],"efficient":[79],"verification":[80],"whether":[82],"expression":[84,118],"been":[86],"visited":[87,117,140],"any":[89],"stored":[92],"We":[95],"exploit":[96],"e-graph":[98],"adapt":[100],"subtree":[102],"operators":[103],"reduce":[105],"chances":[107],"expressions.":[110,141],"Our":[111],"adaptation,":[112],"called":[113],"eggp,":[114],"stores":[115],"every":[116],"e-graph,":[121],"us":[123],"filter":[125],"out":[126],"from":[127,191],"available":[129],"selection":[130],"subtrees":[132],"all":[133],"combinations":[135],"would":[137],"create":[138],"already":[139],"Results":[142],"show":[143],"that,":[144],"small":[146],"expressions,":[147],"this":[148],"approach":[149],"improves":[150],"performance":[152],"simple":[155],"GP":[156],"algorithm":[157],"compete":[159],"PySR":[161],"Operon":[163],"without":[164],"increasing":[165],"computational":[166],"cost.":[167],"As":[168],"highlight,":[170],"eggp":[171],"was":[172],"reliably":[175],"delivering":[176],"short":[177],"same":[181],"time":[182],"accurate":[183],"selected":[187],"set":[188,195],"benchmarks":[190],"SRBench":[192],"real-world":[197],"datasets.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}