{"id":"https://openalex.org/W2121832346","doi":"https://doi.org/10.1109/cec.2008.4631062","title":"Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features","display_name":"Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2121832346","doi":"https://doi.org/10.1109/cec.2008.4631062","mag":"2121832346"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631062","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/A5042894086","display_name":"Ukrit Watchareeruetai","orcid":"https://orcid.org/0000-0003-2138-312X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ukrit Watchareeruetai","raw_affiliation_strings":["Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","Dept. of Media Sci., Nagoya Univ., Nagoya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"Dept. of Media Sci., Nagoya Univ., Nagoya","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432603","display_name":"Yoshinori Takeuchi","orcid":"https://orcid.org/0000-0003-2717-5719"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinori Takeuchi","raw_affiliation_strings":["Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102357809","display_name":"Tetsuya Matsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Matsumoto","raw_affiliation_strings":["Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101943961","display_name":"Hiroaki Kudo","orcid":"https://orcid.org/0009-0006-4886-4969"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Kudo","raw_affiliation_strings":["Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105934558","display_name":"Noboru Ohnishi","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Ohnishi","raw_affiliation_strings":["Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Media Science, Graduate School of Information Science, University of Nagoya, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.7626,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85473142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1996","last_page":"2003"},"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":0.9991000294685364,"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":0.9891999959945679,"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/genetic-programming","display_name":"Genetic programming","score":0.6984774470329285},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6720646023750305},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6642449498176575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114528775215149},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5844196677207947},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5609303712844849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49312397837638855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4849962890148163},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.47635865211486816},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4655132293701172},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.46382203698158264},{"id":"https://openalex.org/keywords/human-based-evolutionary-computation","display_name":"Human-based evolutionary computation","score":0.434834361076355},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.43211814761161804},{"id":"https://openalex.org/keywords/genetic-representation","display_name":"Genetic representation","score":0.4319274425506592},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4210805296897888},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41986608505249023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4112517237663269},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3156529664993286},{"id":"https://openalex.org/keywords/interactive-evolutionary-computation","display_name":"Interactive evolutionary computation","score":0.31562885642051697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24700915813446045}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6984774470329285},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6720646023750305},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6642449498176575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114528775215149},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5844196677207947},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5609303712844849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49312397837638855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4849962890148163},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.47635865211486816},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4655132293701172},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.46382203698158264},{"id":"https://openalex.org/C158564503","wikidata":"https://www.wikidata.org/wiki/Q5936745","display_name":"Human-based evolutionary computation","level":5,"score":0.434834361076355},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.43211814761161804},{"id":"https://openalex.org/C6135463","wikidata":"https://www.wikidata.org/wiki/Q5532920","display_name":"Genetic representation","level":3,"score":0.4319274425506592},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4210805296897888},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41986608505249023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4112517237663269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3156529664993286},{"id":"https://openalex.org/C123189799","wikidata":"https://www.wikidata.org/wiki/Q6045380","display_name":"Interactive evolutionary computation","level":4,"score":0.31562885642051697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24700915813446045},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2008.4631062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631062","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W64312882","https://openalex.org/W1536241486","https://openalex.org/W1558672164","https://openalex.org/W1587584386","https://openalex.org/W1604763789","https://openalex.org/W1635620269","https://openalex.org/W1899437639","https://openalex.org/W1920296779","https://openalex.org/W2067850923","https://openalex.org/W2081362638","https://openalex.org/W2100690799","https://openalex.org/W2107899042","https://openalex.org/W2113735218","https://openalex.org/W2119396705","https://openalex.org/W2120726411","https://openalex.org/W2123251383","https://openalex.org/W2142183404","https://openalex.org/W2161684923","https://openalex.org/W2162473406","https://openalex.org/W3145481521","https://openalex.org/W4232222670","https://openalex.org/W4240744150","https://openalex.org/W4301173492","https://openalex.org/W6602611348","https://openalex.org/W6633349832","https://openalex.org/W6636008784","https://openalex.org/W6640071887"],"related_works":["https://openalex.org/W1573147006","https://openalex.org/W2528958959","https://openalex.org/W4879471","https://openalex.org/W1852966908","https://openalex.org/W2482072397","https://openalex.org/W68304801","https://openalex.org/W2086263357","https://openalex.org/W41249964","https://openalex.org/W2616345470","https://openalex.org/W1421389508"],"abstract_inverted_index":{"Recently,":[0],"evolutionary":[1,105,137],"computation":[2,101,119],"(EC)":[3],"has":[4],"been":[5],"adopted":[6],"to":[7,99],"search":[8,106,138,152],"for":[9,14],"effective":[10],"feature":[11,22],"extraction":[12,23],"programs":[13,24],"given":[15],"image":[16,38],"recognition":[17,42],"problems.":[18],"For":[19],"this":[20,45,93],"approach,":[21],"are":[25,35,89],"constructed":[26],"from":[27],"a":[28,54,73,82,97,116],"set":[29],"of":[30,56,65,110,124,142,158],"primitive":[31],"operations":[32],"(POs),":[33],"which":[34,86],"usually":[36],"general":[37],"processing":[39],"and":[40,71],"pattern":[41],"operations.":[43],"In":[44],"paper,":[46],"we":[47,95,132],"focus":[48],"on":[49,53,92],"an":[50,136],"approach":[51],"based":[52,69],"variation":[55],"linear":[57],"genetic":[58],"programming":[59],"(LGP).":[60],"We":[61],"describe":[62],"the":[63,77,104],"causes":[64],"redundancies":[66,88],"in":[67,85,118],"LGP":[68,79],"representation,":[70],"propose":[72],"transformation":[74],"that":[75,107,139,157],"converts":[76],"redundant":[78,111,143],"representation":[80],"into":[81],"canonical":[83],"form,":[84],"all":[87],"removed.":[90],"Based":[91],"transformation,":[94],"present":[96],"way":[98],"reduce":[100],"time,":[102],"i.e.,":[103],"avoids":[108],"executions":[109],"individuals.":[112,144],"Experimental":[113],"results":[114],"demonstrate":[115],"success":[117],"time":[120,127],"reduction;":[121],"around":[122],"7\u201362%":[123],"total":[125],"compuation":[126],"can":[128],"be":[129],"reduced.":[130],"Also,":[131],"have":[133],"experimented":[134],"with":[135],"prohibits":[140],"existence":[141],"When":[145],"selection":[146],"pressure":[147],"is":[148,154],"high":[149],"enough,":[150],"its":[151],"performance":[153],"better":[155],"than":[156],"conventional":[159],"evoltuionary":[160],"search.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}