{"id":"https://openalex.org/W2113607618","doi":"https://doi.org/10.1109/cec.2003.1299850","title":"A new hybrid structure genetic programming in symbolic regression","display_name":"A new hybrid structure genetic programming in symbolic regression","publication_year":2004,"publication_date":"2004-07-09","ids":{"openalex":"https://openalex.org/W2113607618","doi":"https://doi.org/10.1109/cec.2003.1299850","mag":"2113607618"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2003.1299850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2003.1299850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","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/A5011707621","display_name":"Shengwu Xiong","orcid":"https://orcid.org/0000-0002-4006-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Shengwu Xiong","raw_affiliation_strings":["Project Fractales, INRIA-Rocquencourt, Le Chesnay, France","School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Project Fractales, INRIA-Rocquencourt, Le Chesnay, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045138917","display_name":"Weiwu Wang","orcid":"https://orcid.org/0000-0001-6922-9207"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwu Wang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.441,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59397212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1500","last_page":"1506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9664523601531982},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.9091815948486328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5745929479598999},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5260967016220093},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4847573935985565},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4678312838077545},{"id":"https://openalex.org/keywords/discontinuity","display_name":"Discontinuity (linguistics)","score":0.4526790976524353},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.44590556621551514},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.44058749079704285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4252844750881195},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4241175651550293},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.41678738594055176},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3779735565185547},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3490701913833618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3402657210826874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31630411744117737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2142215073108673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15913507342338562}],"concepts":[{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.9664523601531982},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.9091815948486328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5745929479598999},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5260967016220093},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4847573935985565},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4678312838077545},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.4526790976524353},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44590556621551514},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.44058749079704285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4252844750881195},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4241175651550293},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.41678738594055176},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3779735565185547},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3490701913833618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3402657210826874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31630411744117737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2142215073108673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15913507342338562},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2003.1299850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2003.1299850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","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":12,"referenced_works":["https://openalex.org/W39891476","https://openalex.org/W1511901713","https://openalex.org/W1539716429","https://openalex.org/W1544329015","https://openalex.org/W1553373771","https://openalex.org/W1608518903","https://openalex.org/W1636064444","https://openalex.org/W1993491255","https://openalex.org/W2102319929","https://openalex.org/W2143810412","https://openalex.org/W4292408320","https://openalex.org/W4300939951"],"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":{"Genetic":[0],"programming":[1],"(GP)":[2],"has":[3],"been":[4],"applied":[5,65,87],"to":[6,18,66,88,100,123],"symbolic":[7,15],"regression":[8,16],"problem":[9],"for":[10],"a":[11,20,25,38,48,56,78],"long":[12],"time.":[13],"The":[14,111],"is":[17,42,64,98,121],"discover":[19],"function":[21],"that":[22,84,117],"can":[23,34,52,85],"fit":[24],"finite":[26],"set":[27],"of":[28],"sample":[29,32],"data.":[30],"These":[31],"data":[33],"be":[35,53,86],"guided":[36],"by":[37,55],"simple":[39],"function,":[40],"which":[41],"continuous":[43,90],"and":[44,82,92,107,131],"smooth.":[45],"But":[46],"in":[47],"complex":[49,68],"system,":[50],"they":[51],"produced":[54],"discontinuous":[57,93],"or":[58],"non-smooth":[59],"function.":[60],"When":[61],"conventional":[62,135],"GP":[63,80,120],"this":[67],"system's":[69],"modelling,":[70],"it":[71],"gets":[72],"poor":[73],"performance.":[74],"This":[75],"paper":[76],"proposes":[77],"new":[79,119],"representation":[81],"algorithm":[83],"both":[89,102],"function's":[91,94,105],"regression.":[95],"Our":[96],"approach":[97],"able":[99,122],"identify":[101],"simultaneously":[103],"the":[104,108,118],"structure":[106],"discontinuity":[109],"points.":[110],"numerical":[112],"experimental":[113],"results":[114],"will":[115],"show":[116],"gain":[124],"higher":[125,128],"success":[126],"rate,":[127],"convergence":[129],"rate":[130],"better":[132],"solutions":[133],"than":[134],"GP.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
