{"id":413,"date":"2016-07-14T17:10:52","date_gmt":"2016-07-14T20:10:52","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=413"},"modified":"2016-07-14T17:10:52","modified_gmt":"2016-07-14T20:10:52","slug":"vol6-no1-art1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/","title":{"rendered":"Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais<\/p>\n<p><strong>Autores:<\/strong> Azevedo, Carlos R. B.; Azevedo, Renan A.; Bispo J\u00fanior, Esdras L.; Ferreira, Tiago A. E.; Lopes, Waslon Terllizzie Ara\u00fajo; Madeiro, Francisco<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> O presente artigo apresenta um Algoritmo Mem\u00e9tico (AM) para a otimiza\u00e7\u00e3o de quantizadores vetoriais. O AM proposto atualiza os dicion\u00e1rios produzidos a cada gera\u00e7\u00e3o de um Algoritmo Gen\u00e9tico (AG) modificado mediante a aplica\u00e7\u00e3o de itera\u00e7\u00f5es de uma vers\u00e3o acelerada do algoritmo Linde-Buzo-Gray (LBG). A partir de simula\u00e7\u00f5es envolvendo compress\u00e3o de imagens, observa-se que o AM proposto leva a melhores dicion\u00e1rios em uma quantidade menor de gera\u00e7\u00f5es, quando comparado a um AG integrado ao algoritmo LBG convencional, produzindo, portanto, melhores valores de rela\u00e7\u00e3o sinal-ru\u00eddo de pico para as imagens reconstru\u00eddas. Finalmente, a complexidade da busca pelo Vizinho Mais Pr\u00f3ximo (VMP) no m\u00e9todo proposto \u00e9 reduzida mediante a utiliza\u00e7\u00e3o de uma busca por dist\u00e2ncia parcial (PDS).<\/p>\n<p><strong>Palavras-chave:<\/strong> Quantiza\u00e7\u00e3o vetorial; computa\u00e7\u00e3o evolutiva; algoritmos mem\u00e9ticos; codifica\u00e7\u00e3o de imagens<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 13<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol6-no1-art1\">10.21528\/lmln-vol6-no1-art1<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol6-no1-art1.pdf\" rel=\"\">vol6-no1-art1.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol6-no1-art1.bib\" rel=\"\">vol6-no1-art1.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais Autores: Azevedo, Carlos R. B.; Azevedo, Renan A.; Bispo J\u00fanior, Esdras L.; Ferreira, Tiago A. E.; Lopes, Waslon Terllizzie Ara\u00fajo; Madeiro, Francisco Resumo: O presente artigo apresenta um Algoritmo Mem\u00e9tico <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":411,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-413","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais Autores: Azevedo, Carlos R. 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B.; Azevedo, Renan A.; Bispo J\u00fanior, Esdras L.; Ferreira, Tiago A. E.; Lopes, Waslon Terllizzie Ara\u00fajo; Madeiro, Francisco Resumo: O presente artigo apresenta um Algoritmo Mem\u00e9tico Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/","og_site_name":"Learning and NonLinear Models","twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/","name":"Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2016-07-14T20:10:52+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/vol6-no1-art1\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Browse issues","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/"},{"@type":"ListItem","position":2,"name":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 6 &#8211; N\u00famero 1","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no1\/"},{"@type":"ListItem","position":3,"name":"Um Algoritmo Mem\u00e9tico Para A Otimiza\u00e7\u00e3o De Quantizadores Vetoriais"}]},{"@type":"WebSite","@id":"https:\/\/sbia.org.br\/lnlm\/#website","url":"https:\/\/sbia.org.br\/lnlm\/","name":"Learning and NonLinear Models","description":"","publisher":{"@id":"https:\/\/sbia.org.br\/lnlm\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/sbia.org.br\/lnlm\/#organization","name":"Learning and NonLinear Models","url":"https:\/\/sbia.org.br\/lnlm\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/","url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","contentUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","width":398,"height":94,"caption":"Learning and NonLinear Models"},"image":{"@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/413","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=413"}],"version-history":[{"count":0,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/413\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/411"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=413"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}