{"id":"https://openalex.org/W4411600493","doi":"https://doi.org/10.1109/cec65147.2025.11043089","title":"A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression","display_name":"A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600493","doi":"https://doi.org/10.1109/cec65147.2025.11043089"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","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/A5041504960","display_name":"Hengzhe Zhang","orcid":"https://orcid.org/0000-0002-2254-8304"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Hengzhe Zhang","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340143","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0001-9367-4757"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080779869","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-7790-1216"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004837138","display_name":"Wolfgang Banzhaf","orcid":"https://orcid.org/0000-0002-6382-3245"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Wolfgang Banzhaf","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140"],"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand,6140","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041504960"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07912178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9401000142097473,"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/T10320","display_name":"Neural Networks and Applications","score":0.9401000142097473,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9301000237464905,"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/crossover","display_name":"Crossover","score":0.7141450643539429},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6849865317344666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508466005325317},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6411364674568176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5646260380744934},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5585823655128479},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5365671515464783},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5081088542938232},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.475212424993515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3893122971057892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33553600311279297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33104944229125977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21918994188308716},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.05634745955467224}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7141450643539429},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6849865317344666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508466005325317},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6411364674568176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5646260380744934},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5585823655128479},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5365671515464783},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5081088542938232},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.475212424993515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3893122971057892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33553600311279297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33104944229125977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21918994188308716},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.05634745955467224},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11043089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2054536516","https://openalex.org/W2134556280","https://openalex.org/W2167244069","https://openalex.org/W2168490357","https://openalex.org/W2295985801","https://openalex.org/W2558896678","https://openalex.org/W2595303237","https://openalex.org/W2752946155","https://openalex.org/W2798474464","https://openalex.org/W2883262743","https://openalex.org/W2954125295","https://openalex.org/W3093720718","https://openalex.org/W3093994124","https://openalex.org/W3127916369","https://openalex.org/W4205678345","https://openalex.org/W4220870416","https://openalex.org/W4289765664","https://openalex.org/W4310981419","https://openalex.org/W4319341367","https://openalex.org/W4387011164","https://openalex.org/W4388505185","https://openalex.org/W4395096439","https://openalex.org/W4401416150","https://openalex.org/W4403511218","https://openalex.org/W4405853974","https://openalex.org/W6676279030","https://openalex.org/W6858473070"],"related_works":["https://openalex.org/W1593354505","https://openalex.org/W1963986408","https://openalex.org/W2046401452","https://openalex.org/W2294762224","https://openalex.org/W2604180947","https://openalex.org/W1665736036","https://openalex.org/W2793458740","https://openalex.org/W4386564352","https://openalex.org/W2605057696","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Genetic":[0],"programming-based":[1],"symbolic":[2],"regression":[3],"is":[4,82],"a":[5,40,78],"widely":[6],"used":[7],"machine":[8],"learning":[9],"technique,":[10],"but":[11],"its":[12,134],"effectiveness":[13,135],"can":[14],"be":[15],"limited":[16],"as":[17],"the":[18,59,67,85,90,96,103,122],"number":[19,42],"of":[20,43,84],"input":[21,44],"features":[22,61,87,113],"increases.":[23],"In":[24,73],"genetic":[25],"programming,":[26],"two-stage":[27,47],"feature":[28,48,63,91],"selection":[29,49,92],"has":[30],"been":[31],"extensively":[32],"applied":[33],"to":[34,88,106],"enhance":[35],"performance":[36],"when":[37],"dealing":[38],"with":[39],"large":[41],"features.":[45],"Existing":[46],"methods":[50],"typically":[51],"require":[52],"reinitializing":[53],"new":[54],"GP":[55],"trees":[56],"based":[57],"on":[58,130],"selected":[60,86,108],"after":[62],"selection,":[64],"which":[65],"disrupts":[66],"building":[68,117],"blocks":[69],"accumulated":[70],"during":[71],"evolution.":[72],"this":[74],"paper,":[75],"we":[76],"propose":[77],"crossover":[79,104],"operator":[80,101],"that":[81],"aware":[83],"leverage":[89],"results,":[93],"thereby":[94],"bypassing":[95],"need":[97],"for":[98],"reinitialization.":[99],"This":[100],"guides":[102],"process":[105],"prioritize":[107],"features,":[109],"gradually":[110],"eliminating":[111],"unimportant":[112],"while":[114],"preserving":[115],"evolved":[116],"blocks.":[118],"Experimental":[119],"results":[120],"validate":[121],"proposed":[123],"method":[124],"across":[125,139],"three":[126],"different":[127],"feature-selection":[128,141],"mechanisms":[129],"98":[131],"datasets,":[132],"demonstrating":[133],"and":[136],"broad":[137],"applicability":[138],"various":[140],"strategies.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}