{"id":"https://openalex.org/W4385211697","doi":"https://doi.org/10.1145/3583133.3595830","title":"Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability","display_name":"Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385211697","doi":"https://doi.org/10.1145/3583133.3595830"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3595830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3595830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5071429438","display_name":"Kei Sen Fong","orcid":"https://orcid.org/0009-0000-4135-4858"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Kei Sen Fong","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028245435","display_name":"Shelvia Wongso","orcid":"https://orcid.org/0009-0004-8465-1640"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shelvia Wongso","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069355437","display_name":"Mehul Motani","orcid":"https://orcid.org/0000-0003-3262-0207"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mehul Motani","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071429438"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64300277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9613999724388123,"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9190999865531921,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/adaptability","display_name":"Adaptability","score":0.8821808695793152},{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology (biology)","score":0.6645430326461792},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.6046397089958191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5427016019821167},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5048130750656128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37962520122528076},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17862653732299805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17712068557739258},{"id":"https://openalex.org/keywords/zoology","display_name":"Zoology","score":0.13012275099754333},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1256900131702423},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.11093729734420776},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.07677781581878662}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.8821808695793152},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.6645430326461792},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.6046397089958191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5427016019821167},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5048130750656128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37962520122528076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17862653732299805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17712068557739258},{"id":"https://openalex.org/C90856448","wikidata":"https://www.wikidata.org/wiki/Q431","display_name":"Zoology","level":1,"score":0.13012275099754333},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1256900131702423},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.11093729734420776},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07677781581878662}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3595830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3595830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W200320481","https://openalex.org/W1526951564","https://openalex.org/W1534069108","https://openalex.org/W1974805999","https://openalex.org/W1979769287","https://openalex.org/W1998329127","https://openalex.org/W2061011797","https://openalex.org/W2746525978","https://openalex.org/W2954765142","https://openalex.org/W3114145419","https://openalex.org/W3212743168","https://openalex.org/W4289765664","https://openalex.org/W6601324878"],"related_works":["https://openalex.org/W2350459918","https://openalex.org/W1694810529","https://openalex.org/W113133661","https://openalex.org/W4366429305","https://openalex.org/W2786854799","https://openalex.org/W2558217526","https://openalex.org/W1526755449","https://openalex.org/W4310985270","https://openalex.org/W3101699553","https://openalex.org/W4320855174"],"abstract_inverted_index":{"Symbolic":[0,211],"Regression":[1],"(SR)":[2],"is":[3,183],"the":[4,13,45,111,188,201,217],"task":[5],"of":[6,49,74,156,175,219],"finding":[7],"closed-form":[8],"analytical":[9],"expressions":[10,106],"that":[11,93,107,122,152],"describe":[12],"relationship":[14],"between":[15],"variables":[16],"in":[17,40,96,163,216],"a":[18,65,78,103,133,147,154],"dataset.":[19],"In":[20],"this":[21,61,117],"work,":[22],"werethink":[23],"SR":[24,41,150,161,176],"and":[25,32,56,101,129,158,207,214],"introduce":[26],"mechanisms":[27],"from":[28,195],"two":[29],"perspectives:":[30],"morphology":[31,46],"adaptability.":[33],"Morphology:":[34],"Man-made":[35],"heuristics":[36],"are":[37,108,172],"typically":[38],"utilized":[39],"algorithms":[42,162],"to":[43,80,110,125],"influence":[44],"(or":[47],"structure)":[48],"candidate":[50],"expressions,":[51],"potentially":[52],"introducing":[53],"unintentional":[54],"bias":[55],"data":[57],"leakage.":[58],"To":[59],"address":[60],"issue,":[62],"we":[63,170],"create":[64],"depth-aware":[66],"mathematical":[67],"language":[68],"model":[69],"trained":[70],"on":[71,191,226,230],"terminal":[72],"walks":[73],"expression":[75],"trees,":[76],"as":[77,102],"replacement":[79],"these":[81,144],"heuristics.":[82],"Adaptability:":[83],"We":[84,115,142],"promote":[85],"alternating":[86,119],"fitness":[87,99,120,137],"functions":[88,121],"across":[89],"generations,":[90],"eliminating":[91],"equations":[92],"perform":[94],"well":[95],"only":[97],"one":[98],"function":[100],"result,":[104],"discover":[105],"closer":[109],"true":[112],"functional":[113],"form.":[114],"demonstrate":[116],"by":[118,186],"quantify":[123],"faithfulness":[124],"values":[126],"(via":[127,132],"MSE)":[128],"empirical":[130],"derivatives":[131],"novel":[134],"theoretically":[135],"justified":[136],"metric":[138],"coined":[139],"MSEDI).":[140],"Proof-of-concept:":[141],"combine":[143],"ideas":[145],"into":[146],"minimalistic":[148],"evolutionary":[149],"algorithm":[151],"outperforms":[153],"suite":[155],"benchmark":[157],"state":[159],"of-the-art":[160],"problems":[164],"with":[165],"unknown":[166],"constants":[167],"added,":[168],"which":[169],"claim":[171,182],"more":[173],"reflective":[174],"performance":[177,190],"for":[178],"real-world":[179,192],"applications.":[180],"Our":[181],"then":[184],"strengthened":[185],"reproducing":[187],"superior":[189],"regression":[193],"datasets":[194],"SRBench.":[196],"This":[197],"Hot-of-the-Press":[198],"paper":[199],"summarizes":[200],"work":[202],"K.S.":[203],"Fong,":[204],"S.":[205],"Wongso":[206],"M.":[208],"Motani,":[209],"\"Rethinking":[210],"Regression:":[212],"Morphology":[213],"Adaptability":[215],"Context":[218],"Evolutionary":[220],"Algorithms\",":[221],"The":[222],"Eleventh":[223],"International":[224,228],"Conference":[225,229],"Learning":[227,231],"Representations":[232],"(ICLR'23).":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}