{"id":"https://openalex.org/W3197819916","doi":"https://doi.org/10.1109/tsp52935.2021.9522588","title":"Genetic Programming based Identification of an Industrial Process","display_name":"Genetic Programming based Identification of an Industrial Process","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3197819916","doi":"https://doi.org/10.1109/tsp52935.2021.9522588","mag":"3197819916"},"language":"en","primary_location":{"id":"doi:10.1109/tsp52935.2021.9522588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","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/A5034841732","display_name":"Maksimilian Tarasevich","orcid":null},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":true,"raw_author_name":"Maksimilian Tarasevich","raw_affiliation_strings":["Tallinn University of Technology, Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062879647","display_name":"Aleksei Tepljakov","orcid":"https://orcid.org/0000-0002-7158-8484"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Aleksei Tepljakov","raw_affiliation_strings":["Tallinn University of Technology, Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061791014","display_name":"Eduard Petlenkov","orcid":"https://orcid.org/0000-0003-2167-6280"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Eduard Petlenkov","raw_affiliation_strings":["Tallinn University of Technology, Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032032885","display_name":"Vitali Vansovit\u0161","orcid":"https://orcid.org/0000-0002-1938-9998"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Vitali Vansovits","raw_affiliation_strings":["Tallinn University of Technology, Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034841732"],"corresponding_institution_ids":["https://openalex.org/I111112146"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11764396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.995199978351593,"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":0.8583041429519653},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.820515513420105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549751400947571},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6280062198638916},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6265701055526733},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.589523196220398},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5638646483421326},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5480964779853821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4934324324131012},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4788234531879425},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4431541860103607},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4258614778518677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4242897033691406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42088595032691956},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42031747102737427},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4186704754829407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16613724827766418},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1513240933418274},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09561482071876526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08460232615470886}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.8583041429519653},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.820515513420105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549751400947571},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6280062198638916},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6265701055526733},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.589523196220398},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5638646483421326},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5480964779853821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4934324324131012},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4788234531879425},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4431541860103607},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4258614778518677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4242897033691406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42088595032691956},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42031747102737427},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4186704754829407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16613724827766418},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1513240933418274},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09561482071876526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08460232615470886},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp52935.2021.9522588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W199024138","https://openalex.org/W1523343181","https://openalex.org/W1542000206","https://openalex.org/W1543866312","https://openalex.org/W1554012985","https://openalex.org/W1576818901","https://openalex.org/W1965324089","https://openalex.org/W1976480386","https://openalex.org/W1996643565","https://openalex.org/W2017337590","https://openalex.org/W2022797814","https://openalex.org/W2023140507","https://openalex.org/W2062377144","https://openalex.org/W2073835427","https://openalex.org/W2074144508","https://openalex.org/W2075533215","https://openalex.org/W2102893026","https://openalex.org/W2158958729","https://openalex.org/W2217936032","https://openalex.org/W2254884657","https://openalex.org/W2271358270","https://openalex.org/W2516953263","https://openalex.org/W2588941434","https://openalex.org/W2593301020","https://openalex.org/W2600081046","https://openalex.org/W2750268731","https://openalex.org/W2761715633","https://openalex.org/W2770866675","https://openalex.org/W2792592327","https://openalex.org/W2974836096","https://openalex.org/W2979471545","https://openalex.org/W2980583286","https://openalex.org/W2998216295","https://openalex.org/W2999482287","https://openalex.org/W3004804683","https://openalex.org/W3047145187","https://openalex.org/W3048997926","https://openalex.org/W3080608531","https://openalex.org/W4245119036","https://openalex.org/W4285719527","https://openalex.org/W6631465855","https://openalex.org/W6632549450","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W2968285896","https://openalex.org/W2610450612","https://openalex.org/W2549153708","https://openalex.org/W2897801744","https://openalex.org/W2147355282","https://openalex.org/W2394133867","https://openalex.org/W1994957461"],"abstract_inverted_index":{"In":[0,25,78],"the":[1,26,36,85,98,111,125,128,132,135],"field":[2],"of":[3,22,38,42,55,84,113,134],"industrial":[4,44,105],"automation,":[5],"it":[6],"is":[7,33],"essential":[8],"to":[9,35],"develop":[10],"and":[11,48,108,120],"improve":[12],"mathematical":[13],"methods":[14,56,119,136],"that":[15],"assist":[16],"in":[17,65,131],"obtaining":[18],"more":[19,117],"accurate":[20],"models":[21,100],"real-world":[23],"systems.":[24],"following":[27],"paper,":[28,80],"a":[29,40,52,62,73,81],"machine":[30],"learning":[31],"tool":[32],"applied":[34],"problem":[37],"identifying":[39],"model":[41,64],"an":[43,104],"process.":[45],"Symbolic":[46],"regression":[47],"genetic":[49],"programming":[50],"are":[51,95,101,137],"successful":[53],"combination":[54],"using":[57],"which":[58],"one":[59],"can":[60],"identify":[61],"nonlinear":[63],"analytical":[66],"form":[67],"based":[68],"on":[69,103,110],"data":[70,92,106],"collected":[71],"from":[72],"process":[74],"during":[75],"routine":[76],"operation.":[77],"this":[79],"detailed":[82],"description":[83],"method":[86],"implementation":[87],"as":[88,90],"well":[89],"necessary":[91],"preprocessing":[93],"steps":[94],"presented.":[96],"Then,":[97],"resulting":[99],"validated":[102],"set":[107],"compared":[109],"basis":[112],"performance":[114],"metrics":[115],"with":[116],"classical":[118],"previous":[121],"results":[122],"achieved":[123],"by":[124],"authors.":[126],"Finally,":[127],"encountered":[129],"problems":[130],"realization":[133],"reflected":[138],"upon.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
