{"id":622,"date":"2016-07-18T18:34:09","date_gmt":"2016-07-18T21:34:09","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=622"},"modified":"2016-07-18T18:34:09","modified_gmt":"2016-07-18T21:34:09","slug":"vol10-no4-art1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art1\/","title":{"rendered":"GAADT (Genetic Algorithm based on Abstracts Data Types): Uma  Abordagem Te\u00f3rica e Aplicativa"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> GAADT (Genetic Algorithm based on Abstracts Data Types): Uma  Abordagem Te\u00f3rica e Aplicativa<\/p>\n<p><strong>Autores:<\/strong> Lopes, Manoel Agamemnon; Lopes, Roberta Vilhena Vieira<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Este artigo apresenta uma vis\u00e3o geral da Teoria dos Algoritmos Gen\u00e9ticos baseada em Tipos Abstrato de Dados. Aqui s\u00e3o levantadas algumas quest\u00f5es epistemol\u00f3gicas sobre o uso de uma l\u00f3gica depreendida da Teoria da Origem das Esp\u00e9cies de Darwin (Darwin, 1959), (Gould, 1992) para justificar a mudan\u00e7a de n\u00edvel de abstra\u00e7\u00e3o como vis\u00e3o apropriada na busca de uma metodologia de resolu\u00e7\u00e3o de certos tipos de problemas, que ser\u00e3o aqui chamados de Problemas Evolutivos (Vieira, 2003). Por este motivo, essa teoria aborda uma representa\u00e7\u00e3o do indiv\u00edduo estratificada em tr\u00eas n\u00edveis epistemol\u00f3gicos de percep\u00e7\u00e3o: cromossomo, gene e base e da popula\u00e7\u00e3o como um conjunto de indiv\u00edduos constru\u00eddos a partir desses insumos. Essa percep\u00e7\u00e3o \u00e9 suficientemente rica ao ponto de permitir que a evolu\u00e7\u00e3o seja vista como um movimento em certa dire\u00e7\u00e3o determinada pelo ambiente. A l\u00f3gica resultante dessa vis\u00e3o da evolu\u00e7\u00e3o ser\u00e1 utilizada aqui para resolver problemas. Com essa teor\u00e9tica torna-se poss\u00edvel a caracteriza\u00e7\u00e3o de certas propriedades dos algoritmos gen\u00e9ticos; identificar os problemas que podem ser solucionados por estes e fazer compara\u00e7\u00f5es com outros modelos. A ado\u00e7\u00e3o de uma linguagem rigorosa para a descri\u00e7\u00e3o dos algoritmos gen\u00e9ticos e, em consequ\u00eancia, o estabelecimento de uma teoria formal para o tratamento dos mesmos, dar\u00e1 o cunho cientifico e um conjunto de crit\u00e9rios de aplicabilidade que, atualmente, esses poderosos mecanismos carecem. Por fim, \u00e9 apresentada uma metodologia, bem como aplica\u00e7\u00e3o que \u00e9 desenvolvida no decorrer do trabalho.<\/p>\n<p><strong>Palavras-chave:<\/strong> Algoritmo Gen\u00e9tico; Processos Evolutivos; problemas Evolutivos; converg\u00eancia<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 14<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol10-no4-art1\">10.21528\/lmln-vol10-no4-art1<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no4-art1.pdf\" rel=\"\">vol10-no4-art1.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no4-art1.bib\" rel=\"\">vol10-no4-art1.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: GAADT (Genetic Algorithm based on Abstracts Data Types): Uma Abordagem Te\u00f3rica e Aplicativa Autores: Lopes, Manoel Agamemnon; Lopes, Roberta Vilhena Vieira Resumo: Este artigo apresenta uma vis\u00e3o geral da Teoria dos Algoritmos Gen\u00e9ticos baseada em Tipos Abstrato de Dados. <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/vol10-no4-art1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":620,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-622","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>GAADT (Genetic Algorithm based on Abstracts Data Types): Uma Abordagem Te\u00f3rica e Aplicativa - 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\/vol10-no4\/vol10-no4-art1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GAADT (Genetic Algorithm based on Abstracts Data Types): Uma Abordagem Te\u00f3rica e Aplicativa - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: GAADT (Genetic Algorithm based on Abstracts Data Types): Uma Abordagem Te\u00f3rica e Aplicativa Autores: Lopes, Manoel Agamemnon; Lopes, Roberta Vilhena Vieira Resumo: Este artigo apresenta uma vis\u00e3o geral da Teoria dos Algoritmos Gen\u00e9ticos baseada em Tipos Abstrato de Dados. 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