{"id":74722,"date":"2018-03-09T23:19:49","date_gmt":"2018-03-09T23:19:49","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/analisis-de-micropoblaciones-para-la-mejora-de-la-eficacia-en-computacion-evolutiva-interactiva\/"},"modified":"2018-03-09T23:19:49","modified_gmt":"2018-03-09T23:19:49","slug":"analisis-de-micropoblaciones-para-la-mejora-de-la-eficacia-en-computacion-evolutiva-interactiva","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/analisis-de-micropoblaciones-para-la-mejora-de-la-eficacia-en-computacion-evolutiva-interactiva\/","title":{"rendered":"Analisis de micropoblaciones para la mejora de la eficacia en computacion evolutiva interactiva"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Yago Saez Achaerandio <\/strong><\/h2>\n<p>La computaci\u00f3n evolutiva interactiva agrupa un conjunto de t\u00e9cnicas basadas en una met\u00e1fora de la evoluci\u00f3n biol\u00f3gica. El \u00e9xito de muchas de ellas radica en el mantenimiento de la diversidad gen\u00e9tica, para lo cual es recomendable trabajar con poblaciones de individuos suficientemente grandes. Sin embargo, no siempre es posible trabajar con tales poblaciones, por ejemplo cuando los valores de adecuaci\u00f3n deben ser estimados por un ser humano (computaci\u00f3n evolutiva interactiva, iec) o cuando la funci\u00f3n de evaluaci\u00f3n requiere de un coste computacional muy alto. Este trabajo presenta un nuevo m\u00e9todo computacional que es capaz de trabajar con poblaciones muy peque\u00f1as (micropoblaciones) y que acelera la convergencia final del algoritmo haci\u00e9ndolo m\u00e1s eficaz.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Analisis de micropoblaciones para la mejora de la eficacia en computacion evolutiva interactiva<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Analisis de micropoblaciones para la mejora de la eficacia en computacion evolutiva interactiva <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Yago Saez Achaerandio <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 17\/06\/2005<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li> Segovia Perez Francisco Javier<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: dolores Barrios rolania <\/li>\n<li>enrique Alba torres (vocal)<\/li>\n<li>Juan Llorens morillo (vocal)<\/li>\n<li>Antonio Berlanga de Jes\u00fas (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Yago Saez Achaerandio La computaci\u00f3n evolutiva interactiva agrupa un conjunto de t\u00e9cnicas basadas en una met\u00e1fora de [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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