{"id":"https://openalex.org/W2294564145","doi":"https://doi.org/10.5220/0005598902440251","title":"An Improved Single Node Genetic Programming for Symbolic Regression","display_name":"An Improved Single Node Genetic Programming for Symbolic Regression","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294564145","doi":"https://doi.org/10.5220/0005598902440251","mag":"2294564145"},"language":"en","primary_location":{"id":"doi:10.5220/0005598902440251","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005598902440251","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005598902440251","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004892921","display_name":"Ji\u0159\u0131\u0301 Kubal\u0131\u0301k","orcid":"https://orcid.org/0000-0002-6965-6142"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ji\u0159\u00ed Kubal\u00edk","raw_affiliation_strings":["Czech Institute of Informatics, Robotics, and Cybernetics and CTU in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics and CTU in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084264842","display_name":"Robert Babu\u0161ka","orcid":"https://orcid.org/0000-0001-9578-8598"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Robert Babu\u0161ka","raw_affiliation_strings":["Czech Institute of Informatics, Robotics, and Cybernetics, CTU in Prague and Delft University of Technology, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Institute of Informatics, Robotics, and Cybernetics, CTU in Prague and Delft University of Technology, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"244","last_page":"251"},"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":0.9957000017166138,"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":0.9873999953269958,"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":0.9774717092514038},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.8347691893577576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807268857955933},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6261098384857178},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5677617788314819},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5162444114685059},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4886041283607483},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4398554265499115},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4160538613796234},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3440634608268738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31073033809661865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28681764006614685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1850370168685913},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10546466708183289},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08144953846931458}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.9774717092514038},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8347691893577576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807268857955933},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6261098384857178},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5677617788314819},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5162444114685059},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4886041283607483},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4398554265499115},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4160538613796234},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3440634608268738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31073033809661865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28681764006614685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1850370168685913},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10546466708183289},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08144953846931458},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005598902440251","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005598902440251","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005598902440251","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005598902440251","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W197747737","https://openalex.org/W199153045","https://openalex.org/W1501347617","https://openalex.org/W1576818901","https://openalex.org/W1593481303","https://openalex.org/W1775913388","https://openalex.org/W2084288340","https://openalex.org/W2146565186"],"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":{"This":[0],"paper":[1],"presents":[2],"a":[3,35,55,74],"first":[4],"step":[5],"of":[6,27,48,58,69,113,122],"our":[7],"research":[8],"on":[9,45,93],"designing":[10],"an":[11],"effective":[12],"and":[13,65,72,98,103],"efficient":[14],"GP-based":[15],"method":[16],"for":[17,38,53],"solving":[18],"the":[19,28,46,49,59,63,67,70,86,111,114,120,123],"symbolic":[20,95],"regression.":[21],"We":[22],"have":[23,89],"proposed":[24,87,115],"three":[25,94],"extensions":[26],"standard":[29,101],"Single":[30],"Node":[31],"GP,":[32],"namely":[33],"(1)":[34],"selection":[36],"strategy":[37,77],"choosing":[39],"nodes":[40],"to":[41,62,66,117],"be":[42],"mutated":[43],"based":[44],"depth":[47],"nodes,":[50],"(2)":[51],"operators":[52],"placing":[54],"compact":[56],"version":[57],"best":[60],"tree":[61],"beginning":[64],"end":[68],"population,":[71],"(3)":[73],"local":[75],"search":[76],"with":[78,100],"multiple":[79],"mutations":[80],"applied":[81],"in":[82],"each":[83],"iteration.":[84],"All":[85],"modifications":[88,116],"been":[90],"experimentally":[91],"evaluated":[92],"regression":[96],"problems":[97],"compared":[99],"GP":[102],"SNGP.":[104],"The":[105],"achieved":[106],"results":[107],"are":[108],"promising":[109],"showing":[110],"potential":[112],"significantly":[118],"improve":[119],"performance":[121],"SNGP":[124],"algorithm.":[125]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}