{"id":"https://openalex.org/W1993308768","doi":"https://doi.org/10.1142/s0218001499000598","title":"GENETIC ALGORITHMS FOR POLYGONAL APPROXIMATION OF DIGITAL CURVES","display_name":"GENETIC ALGORITHMS FOR POLYGONAL APPROXIMATION OF DIGITAL CURVES","publication_year":1999,"publication_date":"1999-11-01","ids":{"openalex":"https://openalex.org/W1993308768","doi":"https://doi.org/10.1142/s0218001499000598","mag":"1993308768"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001499000598","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001499000598","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5015808197","display_name":"Peng-Yeng Yin","orcid":"https://orcid.org/0000-0002-2835-9002"},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"PENG-YENG YIN","raw_affiliation_strings":["Ming Chuan University, Taipei, Taiwan 111, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Chuan University, Taipei, Taiwan 111, Republic of China","institution_ids":["https://openalex.org/I192703390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015808197"],"corresponding_institution_ids":["https://openalex.org/I192703390"],"apc_list":null,"apc_paid":null,"fwci":1.5841,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.83274431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"07","first_page":"1061","last_page":"1082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.8736876845359802},{"id":"https://openalex.org/keywords/polygonal-chain","display_name":"Polygonal chain","score":0.7684351205825806},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.611055850982666},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.599499523639679},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5844129323959351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682737827301025},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5448011755943298},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4468654990196228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42658284306526184},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.22223806381225586},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12469920516014099}],"concepts":[{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.8736876845359802},{"id":"https://openalex.org/C182860218","wikidata":"https://www.wikidata.org/wiki/Q633674","display_name":"Polygonal chain","level":3,"score":0.7684351205825806},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.611055850982666},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.599499523639679},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5844129323959351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682737827301025},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5448011755943298},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4468654990196228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42658284306526184},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.22223806381225586},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12469920516014099},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001499000598","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001499000598","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1970896783","https://openalex.org/W1993432162","https://openalex.org/W1994727303","https://openalex.org/W2008893187","https://openalex.org/W2017747428","https://openalex.org/W2020187819","https://openalex.org/W2025306868","https://openalex.org/W2030170785","https://openalex.org/W2031480448","https://openalex.org/W2037353484","https://openalex.org/W2038767155","https://openalex.org/W2043735243","https://openalex.org/W2047019718","https://openalex.org/W2055871476","https://openalex.org/W2058324463","https://openalex.org/W2061132952","https://openalex.org/W2070310500","https://openalex.org/W2074949023","https://openalex.org/W2079280466","https://openalex.org/W2090451920","https://openalex.org/W2091841488","https://openalex.org/W2093219091","https://openalex.org/W2098193663","https://openalex.org/W2155195832","https://openalex.org/W2161099143","https://openalex.org/W2172263315","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2321713948","https://openalex.org/W2366802633","https://openalex.org/W1993308768","https://openalex.org/W1643233150","https://openalex.org/W2080303294","https://openalex.org/W1997921451","https://openalex.org/W1498920599","https://openalex.org/W2069560908","https://openalex.org/W2055816970","https://openalex.org/W2367818149"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"three":[3],"polygonal":[4],"approximation":[5,30,45],"approaches":[6,98],"using":[7],"genetic":[8,83],"algorithms":[9],"are":[10],"proposed.":[11],"The":[12,40,58,91],"first":[13],"approach":[14,42],"approximates":[15],"the":[16,21,26,29,44,66,81,89,96],"digital":[17],"curve":[18],"by":[19,47],"minimizing":[20],"number":[22,55],"of":[23,25,56,80,104],"sides":[24],"polygon":[27,51,68],"and":[28],"error":[31,46],"should":[32],"be":[33],"less":[34],"than":[35,102],"a":[36,50,53,75],"prespecified":[37],"tolerance":[38],"value.":[39],"second":[41],"minimizes":[43],"searching":[48],"for":[49,78],"with":[52],"given":[54,72],"sides.":[57],"third":[59],"approach,":[60],"which":[61],"is":[62,85],"more":[63],"practical,":[64],"determines":[65],"approximating":[67],"automatically":[69],"without":[70],"any":[71],"condition.":[73],"Moreover,":[74],"learning":[76],"strategy":[77],"each":[79],"proposed":[82,97],"algorithm":[84],"presented":[86],"to":[87],"improve":[88],"results.":[90],"experimental":[92],"results":[93],"show":[94],"that":[95],"have":[99],"better":[100],"performances":[101],"those":[103],"existing":[105],"methods.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
