{"id":112860,"date":"2018-03-11T10:40:04","date_gmt":"2018-03-11T10:40:04","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/contributions-to-the-analysis-and-understanding-of-estimation-of-distribution-algorithms\/"},"modified":"2018-03-11T10:40:04","modified_gmt":"2018-03-11T10:40:04","slug":"contributions-to-the-analysis-and-understanding-of-estimation-of-distribution-algorithms","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/contributions-to-the-analysis-and-understanding-of-estimation-of-distribution-algorithms\/","title":{"rendered":"Contributions to the analysis and understanding of estimation of distribution algorithms"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carlos Echegoyen Arruti <\/strong><\/h2>\n<p>La tesis est\u00e1 dedicada al estudio y compresi\u00f3n de los algoritmos de estimaci\u00f3n de distribuciones. Este tipo de algoritmos constituye un paradigma de optimizaci\u00f3n basado en poblaciones que se enmarca dentro del campo de la computaci\u00f3n evolutiva. A lo largo del documento de tesis se proponen diferentes aproximaciones metodol\u00f3gicas, tanto de car\u00e1cter num\u00e9rico como te\u00f3rico, con el fin de arrojar luz a cuestiones fundamentales que permanece abiertas en relaci\u00f3n a este tipo de algoritmos. En particular, se profundiza principalmente en los siguientes aspectos: i) la relaci\u00f3n entre el problema de optimizaci\u00f3n y los modelos probabil\u00edsticos necesarios para alcanzar el \u00f3ptimo, ii) la informaci\u00f3n que dichos modelos probabil\u00edsticos aportan sobre el propio problema de optimizaci\u00f3n, iii) los l\u00edmites de efectividad de este tipo de algoritmos con el fin de comprender mejor cual es su \u00e1rea de aplicaci\u00f3n, iv) estudio de la probabilidad del \u00f3ptimo, ya que \u00e9ste es el elemento fundamental para la resoluci\u00f3n de cualquier problema dado y v) la taxonom\u00eda de los diferentes comportamientos que este tipo de algoritmos pude exhibir y su relaci\u00f3n con las caracter\u00edsticas de los problemas de optimizaci\u00f3n. Adem\u00e1s, el trabajo realizado abre la puerta a nuevas investigaciones que pueden seguir aportando conocimiento no s\u00f3lo sobre algoritmos de estimaci\u00f3n de distribuciones si no tambi\u00e9n sobre otros algoritmos evolutivos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Contributions to the analysis and understanding of estimation of distribution algorithms<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Contributions to the analysis and understanding of estimation of distribution algorithms <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carlos Echegoyen Arruti <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Pa\u00eds vasco\/euskal herriko unibertsitatea<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 22\/06\/2012<\/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>Alexander Mendiburu Alberro<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: pedro Larra\u00f1aga mugica <\/li>\n<li>Jos\u00e9 Manuel Pe\u00f1a palomar (vocal)<\/li>\n<li>Jos\u00e9 Antonio Gamez martin (vocal)<\/li>\n<li>qingfu Zhang (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carlos Echegoyen Arruti La tesis est\u00e1 dedicada al estudio y compresi\u00f3n de los algoritmos de estimaci\u00f3n 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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