{"id":"https://openalex.org/W2186475918","doi":null,"title":"Using a Genetic Algorithm","display_name":"Using a Genetic Algorithm","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W2186475918","mag":"2186475918"},"language":"en","primary_location":{"id":"mag:2186475918","doi":null,"is_oa":false,"landing_page_url":"http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/before10-1-1997/Journals/1995/Adaptiveimagesegmentationusingagenetic95.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5071522801","display_name":"Bir Bhanu","orcid":"https://orcid.org/0000-0001-8971-6416","observed_orcids":["https://orcid.org/0000-0001-8971-6416"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bir Bhanu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8971-6416","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110239283","display_name":"Sungkee Lee","orcid":"https://orcid.org/0000-0002-3464-7246","observed_orcids":["https://orcid.org/0000-0002-3464-7246"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sungkee Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111540986","display_name":"John Ming","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.18809999525547028,"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":0.10119999945163727,"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/image-segmentation","display_name":"image segmentation","score":0.9470000267028809},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7889999747276306},{"id":"https://openalex.org/keywords/adaptive-segmentation","display_name":"adaptive segmentation","score":0.9639999866485596},{"id":"https://openalex.org/keywords/closed-loop-control-system","display_name":"closed-loop systems","score":0.7429999709129333},{"id":"https://openalex.org/keywords/optimization","display_name":"optimization","score":0.49399998784065247},{"id":"https://openalex.org/keywords/segmentation-parameter-optimization","display_name":"segmentation parameter optimization","score":0.7580000162124634},{"id":"https://openalex.org/keywords/environmental-variability","display_name":"environmental variability","score":0.5339999794960022},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.4050000011920929},{"id":"https://openalex.org/keywords/learning","display_name":"learning","score":0.531000018119812}],"concepts":[{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.783718466758728},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.778950572013855},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.7638754844665527},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7019852995872498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550970673561096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6546189785003662},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.6474767327308655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5301331877708435},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5134357213973999},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47256723046302795},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45836079120635986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40123340487480164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36871862411499023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27085036039352417},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2186475918","doi":null,"is_oa":false,"landing_page_url":"http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/before10-1-1997/Journals/1995/Adaptiveimagesegmentationusingagenetic95.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W78492765","https://openalex.org/W310394062","https://openalex.org/W1536477626","https://openalex.org/W1976379984","https://openalex.org/W2020999234","https://openalex.org/W2021893106","https://openalex.org/W2024060531","https://openalex.org/W2027841141","https://openalex.org/W2033849769","https://openalex.org/W2037437396","https://openalex.org/W2051666716","https://openalex.org/W2069610368","https://openalex.org/W2114659971","https://openalex.org/W2118848013","https://openalex.org/W2144168000","https://openalex.org/W2151163048","https://openalex.org/W2229988679","https://openalex.org/W2469682385","https://openalex.org/W3100816363"],"related_works":["https://openalex.org/W7100006729","https://openalex.org/W208056742","https://openalex.org/W2151549011","https://openalex.org/W423068535","https://openalex.org/W2137445833","https://openalex.org/W2469682385","https://openalex.org/W7095119276","https://openalex.org/W7098456079","https://openalex.org/W2109428905","https://openalex.org/W203784147"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,30,46,56,79,96,107,116,156],"is":[2,24,81],"an":[3,84],"old":[4],"and":[5,87,132,150],"difficult":[6],"problem.":[7],"One":[8],"of":[9,13,71,74,95,112],"the":[10,29,37,41,55,88,93,101,106,151,155],"fundamental":[11],"weaknesses":[12],"current":[14],"computer":[15],"vision":[16],"systems":[17],"to":[18,27,53,58,99,119,123,128,133,153],"be":[19],"used":[20],"in":[21,36,60,158],"practical":[22],"applications":[23],"their":[25],"inability":[26],"adapt":[28,54,154],"process":[31,57],"as":[32,69,83],"real-world":[33],"changes":[34,59],"occur":[35],"image.":[38],"We":[39,143],"present":[40,144],"first":[42],"closed":[43],"loop":[44],"image":[45,61,115],"system":[47,117],"which":[48,104,147],"incorporates":[49],"a":[50,140],"genetic":[51,89],"algorithm":[52,90],"characteristics":[62],"caused":[63],"by":[64],"variable":[65],"environmental":[66],"conditions":[67],"such":[68],"time":[70,73],"day,":[72],"year,":[75],"clouds,":[76],"etc.":[77],"The":[78,110],"problem":[80,86],"formulated":[82],"optimization":[85],"efficiently":[91],"searches":[92],"hyperspace":[94],"parameter":[97,102],"combinations":[98],"determine":[100],"set":[103],"maximizes":[105],"quality":[108],"criteria.":[109],"goals":[111],"our":[113],"adaptive":[114],"are":[118],"provide":[120,134],"continuous":[121],"adaptation":[122],"normal":[124],"envi-":[125],"ronmental":[126],"variations,":[127],"exhibit":[129],"learning":[130,149],"capabilities,":[131],"robust":[135],"performance":[136,157],"when":[137],"interacting":[138],"with":[139],"dynamic":[141],"environment.":[142],"experimental":[145],"results":[146],"demonstrate":[148],"ability":[152],"outdoor":[159],"color":[160],"imagery.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2016-06-24T00:00:00"}