{"id":"https://openalex.org/W1963681391","doi":"https://doi.org/10.1109/cec.2008.4631132","title":"Two improvements in genetic programming for image classification","display_name":"Two improvements in genetic programming for image classification","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W1963681391","doi":"https://doi.org/10.1109/cec.2008.4631132","mag":"1963681391"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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/A5100347631","display_name":"Yamin Li","orcid":"https://orcid.org/0000-0002-4456-8656"},"institutions":[{"id":"https://openalex.org/I108160477","display_name":"Hebei Agricultural University","ror":"https://ror.org/009fw8j44","country_code":"CN","type":"education","lineage":["https://openalex.org/I108160477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yamin Li","raw_affiliation_strings":["Artifical Intelligence Research Center, Agricultural University of Hebei, Baoding, China","Artificial Intell. Res. Center, Agric. Univ. of Hebei, Baoding"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artifical Intelligence Research Center, Agricultural University of Hebei, Baoding, China","institution_ids":["https://openalex.org/I108160477"]},{"raw_affiliation_string":"Artificial Intell. Res. Center, Agric. Univ. of Hebei, Baoding","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103549797","display_name":"Jin-Ru Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I108160477","display_name":"Hebei Agricultural University","ror":"https://ror.org/009fw8j44","country_code":"CN","type":"education","lineage":["https://openalex.org/I108160477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinru Ma","raw_affiliation_strings":["College of Foreign Language, Agricultural University of Hebei, Baoding, China","College of Foreign Language, Agricultural University of Hebei, Baoding 071001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Foreign Language, Agricultural University of Hebei, Baoding, China","institution_ids":["https://openalex.org/I108160477"]},{"raw_affiliation_string":"College of Foreign Language, Agricultural University of Hebei, Baoding 071001, China","institution_ids":["https://openalex.org/I108160477"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023164759","display_name":"Qiuxia Zhao","orcid":"https://orcid.org/0000-0002-9137-5216"},"institutions":[{"id":"https://openalex.org/I108160477","display_name":"Hebei Agricultural University","ror":"https://ror.org/009fw8j44","country_code":"CN","type":"education","lineage":["https://openalex.org/I108160477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxia Zhao","raw_affiliation_strings":["Artifical Intelligence Research Center, Agricultural University of Hebei, Baoding, China","Artificial Intelligence Research Center, Agricultural University of Hebei, Baoding 071001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artifical Intelligence Research Center, Agricultural University of Hebei, Baoding, China","institution_ids":["https://openalex.org/I108160477"]},{"raw_affiliation_string":"Artificial Intelligence Research Center, Agricultural University of Hebei, Baoding 071001, China","institution_ids":["https://openalex.org/I108160477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108160477"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3003","issue":null,"first_page":"2492","last_page":"2497"},"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":0.9905999898910522,"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":0.9678999781608582,"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/genetic-programming","display_name":"Genetic programming","score":0.801729679107666},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.7073008418083191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6478913426399231},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6326488256454468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121487021446228},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6080025434494019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4991295337677002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4847654700279236},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.481249064207077},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4560605585575104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42920905351638794}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.801729679107666},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.7073008418083191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478913426399231},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6326488256454468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121487021446228},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6080025434494019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4991295337677002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4847654700279236},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.481249064207077},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4560605585575104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42920905351638794},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2008.4631132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W75892284","https://openalex.org/W1531202235","https://openalex.org/W1564160963","https://openalex.org/W1571170674","https://openalex.org/W1576818901","https://openalex.org/W1586014638","https://openalex.org/W2116954712","https://openalex.org/W2131489803","https://openalex.org/W6603087368","https://openalex.org/W6633889980","https://openalex.org/W6679624801"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W2097965245","https://openalex.org/W4294725171","https://openalex.org/W1485885287","https://openalex.org/W2553277926","https://openalex.org/W4384024076","https://openalex.org/W1578871554","https://openalex.org/W1971758741"],"abstract_inverted_index":{"A":[0],"new":[1,127],"classification":[2,6,135],"algorithm":[3],"for":[4,35,54,132],"multi-image":[5,124],"in":[7,160],"genetic":[8],"programming":[9],"(GP)":[10],"is":[11,14,70,90],"introduced,":[12],"which":[13,107],"the":[15,29,55,58,61,64,67,73,78,84,126,140,152,155,158,161,173,176],"centered":[16],"dynamic":[17,147],"class":[18,148],"boundary":[19,149],"determination":[20],"with":[21,120],"quick-decreasing":[22],"power":[23,41],"value":[24],"of":[25,40,51,57,60,80,106,123,143,157,175],"arithmetic":[26],"progression.":[27],"In":[28,63],"classifier":[30],"learning":[31,86],"process":[32],"using":[33],"GP":[34],"mufti-image":[36],"classification,":[37,125],"different":[38],"sets":[39],"values":[42,53],"are":[43],"tested":[44],"to":[45,76],"achieve":[46],"a":[47,93,100],"more":[48,111,133],"suitable":[49],"range":[50],"margin":[52],"improvement":[56],"accuracy":[59],"classifiers.":[62],"second":[65],"development,":[66],"program":[68,81],"size":[69,79,156],"introduced":[71],"into":[72],"fitness":[74,153],"function":[75],"control":[77],"growth":[82],"during":[83,170],"evolutionary":[85],"process.":[87],"The":[88,113],"approach":[89,128],"examined":[91],"on":[92],"Chinese":[94],"character":[95],"image":[96],"data":[97,103],"set":[98],"and":[99,136,167],"grass":[101],"leaves":[102],"set,":[104],"both":[105],"have":[108],"four":[109],"or":[110,146],"classes.":[112],"experimental":[114],"results":[115],"show":[116],"that":[117],"while":[118],"dealing":[119],"complicated":[121],"problems":[122],"can":[129,163],"be":[130,164,179],"used":[131],"accurate":[134],"work":[137],"better":[138],"than":[139],"previous":[141],"algorithms":[142],"either":[144],"static":[145],"determination.":[150],"With":[151],"function,":[154],"programs":[159,177],"population":[162],"controlled":[165],"effectively":[166],"shortened":[168],"considerably":[169],"evolution.":[171],"Thus,":[172],"readability":[174],"could":[178],"seemingly":[180],"improved.":[181]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}