{"id":"https://openalex.org/W2954765142","doi":"https://doi.org/10.1145/3321707.3321743","title":"Solving symbolic regression problems with formal constraints","display_name":"Solving symbolic regression problems with formal constraints","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2954765142","doi":"https://doi.org/10.1145/3321707.3321743","mag":"2954765142"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321743","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/A5006916652","display_name":"Iwo B\u0142\u0105dek","orcid":"https://orcid.org/0000-0003-1991-8797"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Iwo B\u0142\u0105dek","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034406933","display_name":"Krzysztof Krawiec","orcid":"https://orcid.org/0000-0001-5439-3231"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Krawiec","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":1.421,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.86883519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"977","last_page":"984"},"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":0.9972000122070312,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9837999939918518,"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":0.9017053842544556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486727237701416},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6140912175178528},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5030054450035095},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4984889030456543},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49316924810409546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4915989339351654},{"id":"https://openalex.org/keywords/symbolic-trajectory-evaluation","display_name":"Symbolic trajectory evaluation","score":0.4794429838657379},{"id":"https://openalex.org/keywords/formal-methods","display_name":"Formal methods","score":0.4749070405960083},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4581308960914612},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45209792256355286},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43513157963752747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39028042554855347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3771192133426666},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.3579895794391632},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.29227542877197266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18424376845359802},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0947599709033966}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.9017053842544556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486727237701416},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6140912175178528},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5030054450035095},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4984889030456543},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49316924810409546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4915989339351654},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.4794429838657379},{"id":"https://openalex.org/C75606506","wikidata":"https://www.wikidata.org/wiki/Q1049183","display_name":"Formal methods","level":2,"score":0.4749070405960083},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4581308960914612},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45209792256355286},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43513157963752747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39028042554855347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3771192133426666},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3579895794391632},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29227542877197266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18424376845359802},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0947599709033966},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321707.3321743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321707.3321743","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":[],"awards":[{"id":"https://openalex.org/G2386486269","display_name":null,"funder_award_id":"2018/29/N/ST6/01646","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1483736078","https://openalex.org/W1552798917","https://openalex.org/W1579983817","https://openalex.org/W1982506807","https://openalex.org/W2010647095","https://openalex.org/W2028585812","https://openalex.org/W2072473332","https://openalex.org/W2159595840","https://openalex.org/W2484166844","https://openalex.org/W2733964674","https://openalex.org/W2780260708","https://openalex.org/W2803418411","https://openalex.org/W2987907651","https://openalex.org/W3098382816","https://openalex.org/W3146075203"],"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":{"In":[0],"many":[1],"applications":[2],"of":[3,11,30,32,51,74,84,102,109,125,128],"symbolic":[4,75,111,134],"regression,":[5],"domain":[6],"knowledge":[7],"constrains":[8],"the":[9,57,72,100,103,129],"space":[10],"admissible":[12],"models":[13,53],"by":[14],"requiring":[15],"them":[16],"to":[17,37],"have":[18],"certain":[19],"properties,":[20],"like":[21],"monotonicity,":[22],"convexity,":[23],"or":[24],"symmetry.":[25],"As":[26],"only":[27],"a":[28,47,82,95,107],"handful":[29],"variants":[31],"genetic":[33],"programming":[34],"methods":[35],"proposed":[36,104],"date":[38],"can":[39],"take":[40],"such":[41],"properties":[42,86,127],"into":[43],"account,":[44],"we":[45,70],"introduce":[46],"principled":[48],"approach":[49,105],"capable":[50],"synthesizing":[52],"that":[54,87,98],"simultaneously":[55],"match":[56],"provided":[58],"training":[59],"data":[60],"(tests)":[61],"and":[62,80,131],"meet":[63],"user-specified":[64],"formal":[65,78,85,117],"properties.":[66,118],"To":[67],"this":[68],"end,":[69],"formalize":[71],"task":[73],"regression":[76,112],"with":[77,115,123],"constraints":[79],"present":[81],"range":[83],"are":[88],"common":[89],"in":[90],"practice.":[91],"We":[92],"also":[93],"conduct":[94],"comparative":[96],"experiment":[97],"confirms":[99],"feasibility":[101],"on":[106],"suite":[108],"realistic":[110],"benchmarks":[113],"extended":[114],"various":[116],"The":[119],"study":[120],"is":[121],"summarized":[122],"discussion":[124],"results,":[126],"method,":[130],"implications":[132],"for":[133],"regression.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
