{"id":53671,"date":"2018-03-09T22:41:23","date_gmt":"2018-03-09T22:41:23","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/parallel-implementation-of-estimation-of-distribution-algorithms-based-on-probabilistic-graphical-models-application-to-chemical-calibration-models\/"},"modified":"2018-03-09T22:41:23","modified_gmt":"2018-03-09T22:41:23","slug":"parallel-implementation-of-estimation-of-distribution-algorithms-based-on-probabilistic-graphical-models-application-to-chemical-calibration-models","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/analisis-de-datos\/parallel-implementation-of-estimation-of-distribution-algorithms-based-on-probabilistic-graphical-models-application-to-chemical-calibration-models\/","title":{"rendered":"Parallel implementation of estimation of distribution algorithms based on probabilistic graphical models. application to chemical calibration models"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Alexander Mendiburu Alberro <\/strong><\/h2>\n<p>Los algoritmos de estimaci\u00f3n de distribuciones (estimation of distribution algorithms, edas) son una clase de algoritmos evolutivos cuya principal caracter\u00edstica es el uso de modelos probabil\u00edsticos para detectar las posibles dependencias entre variables. Los edas han demostrado su potencial para resolver problemas de optimizaci\u00f3n de tama\u00f1o peque\u00f1o-mediano, pero su uso para problemas medianos-grandes es actualmente inviable, dado su gran coste computacional. El objetivo principal de esta tesis es el dise\u00f1o de versiones r\u00e1pidas de un subconjunto de los edas (los basados en modelos gr\u00e1ficos probabil\u00edtiscos), utilizando programaci\u00f3n paralela, de tal forma que se explote la potencia de c\u00e1lculo de varios procesadores trabajando simult\u00e1neamente. Para ello se han utilizado los dos paradigmas m\u00e1s habituales de programaci\u00f3n paralela: hilos (posix threads) y paso de mensajes (message passing interface, mpi). los  programas obtenidos mantienen la funcionalidad de los originales secuenciales, al mismo tiempo que utilizan eficientemente sistemas multiprocesador y multicomputador (incluyendo clusters), de tal manera que el tiempo de ejecuci\u00f3n se reduce de forma proporcional al n\u00famero de procesadores utilizados. La disponibilidad de versiones paralelas r\u00e1pidas de los edas permite ampliar el \u00e1mbito de aplicaci\u00f3n de estos algoritmos.     desde el punto de vista pr\u00e1ctica, se ha utilizado la versi\u00f3n paralela de un eda, en concreto ebnabic, para obtener modelos de calibraci\u00f3n en el \u00e1rea de la qu\u00edmica anal\u00edtica. El proceso exige en primer lugar la creaci\u00f3n de un modelo a partir de datos de reacciones conocidas: concentraciones iniciales de los analitos que forman parte d lea reacci\u00f3n, y una colecci\u00f3n de medidas espectrales tomadas a lo largo del tiempo durante la reacci\u00f3n. Una vez obtenido el modelo, se pueden dar medidas espectrales de una reacci\u00f3n desconocida para predecir las concentraciones iniciales de los analitos. La utilizaci\u00f3n de ebnaboc en el<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Parallel implementation of estimation of distribution algorithms based on probabilistic graphical models. application to chemical calibration models<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Parallel implementation of estimation of distribution algorithms based on probabilistic graphical models. application to chemical calibration models <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Alexander Mendiburu Alberro <\/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 30\/06\/2006<\/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>Jose Miguel Alonso<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: clemente Rodriguez lafuente <\/li>\n<li>xin Yao (vocal)<\/li>\n<li>pedro Larra\u00f1aga mugica (vocal)<\/li>\n<li>Francisco Fern\u00e1ndez de la vega (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Alexander Mendiburu Alberro Los algoritmos de estimaci\u00f3n de distribuciones (estimation of distribution algorithms, edas) son una clase [&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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