{"id":"https://openalex.org/W2045049546","doi":"https://doi.org/10.1109/cec.2008.4630959","title":"Optimisation of natural images processing using different evolutionary algorithms","display_name":"Optimisation of natural images processing using different evolutionary algorithms","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2045049546","doi":"https://doi.org/10.1109/cec.2008.4630959","mag":"2045049546"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4630959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630959","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/A5052453150","display_name":"Xavier P. Burgos-Artizzu","orcid":"https://orcid.org/0000-0001-9681-5404"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]},{"id":"https://openalex.org/I4210117526","display_name":"Unidades Centrales Cient\u00edfico-T\u00e9cnicas","ror":"https://ror.org/01wdt4y78","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2801357902","https://openalex.org/I4210117526","https://openalex.org/I4387152914"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier P. Burgos-Artizzu","raw_affiliation_strings":["Consejo Superior de Investigaciones Cient\u00edficas, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consejo Superior de Investigaciones Cient\u00edficas, Madrid, Spain","institution_ids":["https://openalex.org/I134820265","https://openalex.org/I4210117526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041166102","display_name":"\u00c1ngela Ribeiro","orcid":"https://orcid.org/0000-0001-5807-8132"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]},{"id":"https://openalex.org/I4210117526","display_name":"Unidades Centrales Cient\u00edfico-T\u00e9cnicas","ror":"https://ror.org/01wdt4y78","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2801357902","https://openalex.org/I4210117526","https://openalex.org/I4387152914"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Angela Ribeiro","raw_affiliation_strings":["Consejo Superior de Investigaciones Cient\u00edficas, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Consejo Superior de Investigaciones Cient\u00edficas, Madrid, Spain","institution_ids":["https://openalex.org/I134820265","https://openalex.org/I4210117526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091482754","display_name":"Alberto Tellaeche","orcid":"https://orcid.org/0000-0001-9236-1951"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Tellaeche","raw_affiliation_strings":["National University of Distance Education, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Distance Education, Madrid, Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006686357","display_name":"Gonzalo P\u00e1jares","orcid":"https://orcid.org/0000-0003-0915-6282"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gonzalo Pajares","raw_affiliation_strings":["Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5541,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97166551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1268","last_page":"1275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6369844675064087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636221170425415},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5597443580627441},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5586999654769897},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.528769850730896},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5078731179237366},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.4959457814693451},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.48580408096313477},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.46200841665267944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4317287802696228},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41112056374549866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4029945135116577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3688192069530487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32322990894317627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2610458731651306},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.2513466477394104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23759889602661133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6369844675064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636221170425415},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5597443580627441},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5586999654769897},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.528769850730896},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5078731179237366},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.4959457814693451},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.48580408096313477},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.46200841665267944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4317287802696228},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41112056374549866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4029945135116577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3688192069530487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32322990894317627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2610458731651306},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.2513466477394104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23759889602661133},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2008.4630959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630959","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.710.2876","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.710.2876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.caltech.edu/%7Expburgos/papers/2008%20Burgos-Artizzu%20WCCI.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1568179709","https://openalex.org/W1639032689","https://openalex.org/W1983729897","https://openalex.org/W2016039720","https://openalex.org/W2030083859","https://openalex.org/W2042541788","https://openalex.org/W2042745543","https://openalex.org/W2071423370","https://openalex.org/W2108044931","https://openalex.org/W2126105956","https://openalex.org/W2151676833","https://openalex.org/W2163450852","https://openalex.org/W2772506612","https://openalex.org/W3023540311","https://openalex.org/W6636850861"],"related_works":["https://openalex.org/W2356087891","https://openalex.org/W3036827782","https://openalex.org/W2362890513","https://openalex.org/W2183514925","https://openalex.org/W2348439329","https://openalex.org/W2553152692","https://openalex.org/W2120108081","https://openalex.org/W2366022037","https://openalex.org/W2951194758","https://openalex.org/W1997234952"],"abstract_inverted_index":{"The":[0,31,131],"development":[1],"of":[2,23,29,36,52,70,72,80,93,97,141,148],"image":[3,37],"processing":[4],"methods":[5,66,85,112],"to":[6,40,102,121,143],"discriminate":[7],"between":[8],"weed,":[9,73],"crop":[10,58,74,82],"and":[11,57,75,116,125,154],"soil":[12,54,76],"is":[13,25,39],"an":[14,42],"important":[15],"step":[16],"for":[17,67,106,145],"precision":[18],"agriculture,":[19],"the":[20,26,68,127],"main":[21,32],"goal":[22],"which":[24],"site-specific":[27],"management":[28],"crops.":[30],"challenge":[33],"in":[34,45,77],"terms":[35],"analysis":[38],"achieve":[41],"appropriate":[43],"discrimination":[44],"outdoor":[46],"field":[47],"images":[48,79,149],"under":[49,155],"varying":[50],"conditions":[51],"lighting,":[53],"background":[55],"texture":[56],"damage.":[59],"This":[60],"work":[61],"presents":[62],"several":[63],"developed":[64],"computer-vision-based":[65],"estimation":[69],"percentages":[71],"digital":[78],"a":[81,95,136,146],"field.":[83],"These":[84],"are":[86],"interchangeable":[87],"among":[88],"them,":[89],"having":[90],"each":[91,107],"one":[92],"them":[94],"set":[96,147],"input":[98],"parameters":[99,124],"that":[100],"need":[101],"be":[103],"adjusted":[104],"differently":[105],"image.":[108],"Two":[109],"different":[110,152,156],"evolutionary":[111],"(standard":[113],"genetic":[114],"algorithm":[115],"NSGA-II)":[117],"have":[118],"been":[119],"used":[120],"adjust":[122],"these":[123],"find":[126],"best":[128],"method":[129],"combinations.":[130],"proposed":[132],"approach":[133],"can":[134],"reach":[135],"correlation":[137],"with":[138],"real":[139],"data":[140],"up":[142],"97%":[144],"acquired":[150],"from":[151],"fields":[153],"conditions.":[157]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
