{"id":"https://openalex.org/W2896253903","doi":"https://doi.org/10.1109/cec.2018.8477951","title":"Lightweight Symbolic Regression with the Interaction - Transformation Representation","display_name":"Lightweight Symbolic Regression with the Interaction - Transformation Representation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896253903","doi":"https://doi.org/10.1109/cec.2018.8477951","mag":"2896253903"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","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/A5077603289","display_name":"Guilherme Seidyo Imai Aldeia","orcid":"https://orcid.org/0000-0002-0102-4958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guilherme Seidyo Imai Aldeia","raw_affiliation_strings":["Computing and Cognition (CMCC), Center of Mathematics, Santo And\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Cognition (CMCC), Center of Mathematics, Santo And\u00e9, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010769668","display_name":"Fabr\u00edcio Olivetti de Fran\u00e7a","orcid":"https://orcid.org/0000-0002-2741-8736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabricio Olivetti de Franca","raw_affiliation_strings":["Computing and Cognition (CMCC), Center of Mathematics, Santo And\u00e9, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Cognition (CMCC), Center of Mathematics, Santo And\u00e9, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9948999881744385,"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":0.9879999756813049,"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/symbolic-regression","display_name":"Symbolic regression","score":0.8504294157028198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206801176071167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6440720558166504},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5457810759544373},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5386021733283997},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5349292755126953},{"id":"https://openalex.org/keywords/the-symbolic","display_name":"The Symbolic","score":0.5317973494529724},{"id":"https://openalex.org/keywords/javascript","display_name":"JavaScript","score":0.5151482820510864},{"id":"https://openalex.org/keywords/symbolic-trajectory-evaluation","display_name":"Symbolic trajectory evaluation","score":0.5126191973686218},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5065451860427856},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49401623010635376},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46940743923187256},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.46633291244506836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4197269380092621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38996797800064087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3685876727104187},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.27985215187072754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16061338782310486},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.14060690999031067},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.13657093048095703},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1204623281955719}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.8504294157028198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206801176071167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6440720558166504},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5457810759544373},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5386021733283997},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5349292755126953},{"id":"https://openalex.org/C2776095079","wikidata":"https://www.wikidata.org/wiki/Q489538","display_name":"The Symbolic","level":2,"score":0.5317973494529724},{"id":"https://openalex.org/C544833334","wikidata":"https://www.wikidata.org/wiki/Q2005","display_name":"JavaScript","level":2,"score":0.5151482820510864},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.5126191973686218},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5065451860427856},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49401623010635376},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46940743923187256},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.46633291244506836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4197269380092621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38996797800064087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3685876727104187},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27985215187072754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16061338782310486},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.14060690999031067},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.13657093048095703},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1204623281955719},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","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":23,"referenced_works":["https://openalex.org/W123765585","https://openalex.org/W157468466","https://openalex.org/W1559956479","https://openalex.org/W1576818901","https://openalex.org/W1979769287","https://openalex.org/W1988115241","https://openalex.org/W1991542861","https://openalex.org/W1992272072","https://openalex.org/W2035809855","https://openalex.org/W2102041666","https://openalex.org/W2103496339","https://openalex.org/W2134634502","https://openalex.org/W2142619464","https://openalex.org/W2188682579","https://openalex.org/W2216139323","https://openalex.org/W2308884720","https://openalex.org/W2508652587","https://openalex.org/W2579243405","https://openalex.org/W2782083374","https://openalex.org/W4399647672","https://openalex.org/W6605119337","https://openalex.org/W6606439196","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W2186150309","https://openalex.org/W2736010003","https://openalex.org/W2132514413","https://openalex.org/W2096406490","https://openalex.org/W1552151841","https://openalex.org/W1951895578","https://openalex.org/W2079564097","https://openalex.org/W1489085734","https://openalex.org/W131471094","https://openalex.org/W2101264565"],"abstract_inverted_index":{"Symbolic":[0,57,104,183,224],"Regression":[1,58,105,225],"techniques":[2],"stand":[3],"out":[4],"from":[5],"other":[6],"regression":[7,112],"analysis":[8],"tools":[9],"because":[10],"of":[11,14,72,101,140,168,212,221],"the":[12,33,38,42,46,52,70,73,102,138,153,166,169,195],"possibility":[13],"generating":[15,47],"powerful":[16],"but":[17],"yet":[18],"simple":[19,22,116],"expressions.":[20,75],"These":[21],"expressions":[23,117],"may":[24],"be":[25,231],"useful":[26],"in":[27,31,162,223,233],"many":[28,199],"practical":[29],"situations":[30],"which":[32],"practitioner":[34],"wants":[35],"to":[36,164,172,180,193,230],"interpret":[37],"obtained":[39],"results,":[40],"finetune":[41],"model,":[43],"or":[44],"understand":[45],"phenomena.":[48],"Despite":[49],"this":[50,129,148,189],"possibility,":[51],"current":[53],"state-of-the-art":[54,110],"algorithms":[55,106,151],"for":[56,82,198,227],"usually":[59],"require":[60],"a":[61,77,92,99,119,124,207,213,236],"high":[62],"computational":[63],"budget":[64],"while":[65,114],"having":[66],"little":[67],"guarantees":[68],"regarding":[69],"simplicity":[71],"returned":[74],"Recently,":[76],"new":[78],"Data":[79],"Structure":[80],"representation":[81,155],"mathematical":[83],"expressions,":[84],"called":[85],"Interaction-Transformation":[86],"(IT),":[87],"was":[88],"introduced":[89],"together":[90],"with":[91,145,182],"search-based":[93],"algorithm":[94],"named":[95,131],"SymTree":[96],"that":[97,188],"surpassed":[98],"subset":[100],"recent":[103],"and":[107,177,203],"even":[108],"some":[109],"nonlinear":[111],"algorithms,":[113],"returning":[115],"as":[118],"result.":[120],"This":[121,134,216],"paper":[122],"introduces":[123],"lightweight":[125],"tool":[126,135,190,217],"based":[127],"on":[128,137],"algorithm,":[130],"Lab":[132,170],"Assistant.":[133],"runs":[136],"client-side":[139],"any":[141],"compatible":[142],"Internet":[143],"browser":[144],"JavaScript.":[146],"Alongside":[147],"tool,":[149],"two":[150],"using":[152],"IT":[154],"are":[156,160],"introduced.":[157],"Some":[158],"experiments":[159],"performed":[161],"order":[163],"show":[165],"potential":[167],"Assistant":[171],"help":[173],"practitioners,":[174],"professors,":[175],"researchers":[176],"students":[178],"willing":[179],"experiment":[181],"Regression.":[184],"The":[185],"results":[186],"showed":[187],"is":[191,239],"competent":[192],"find":[194],"correct":[196],"expression":[197],"well":[200],"known":[201],"Physics":[202],"Engineering":[204],"relations":[205],"within":[206],"reasonable":[208],"average":[209],"time":[210],"frame":[211],"few":[214],"seconds.":[215],"opens":[218],"up":[219],"lots":[220],"possibilities":[222],"research":[226],"low-cost":[228],"devices":[229],"used":[232],"applications":[234],"where":[235],"high-end":[237],"computer":[238],"not":[240],"available.":[241]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
