{"id":64579,"date":"2018-03-09T22:52:36","date_gmt":"2018-03-09T22:52:36","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/p-e-t-r-i-programming-evolution-through-reiterated-infection-diseno-de-un-algoritmo-genetico-inspirado-en-mecanismos-geneticos-microbianos\/"},"modified":"2018-03-09T22:52:36","modified_gmt":"2018-03-09T22:52:36","slug":"p-e-t-r-i-programming-evolution-through-reiterated-infection-diseno-de-un-algoritmo-genetico-inspirado-en-mecanismos-geneticos-microbianos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/p-e-t-r-i-programming-evolution-through-reiterated-infection-diseno-de-un-algoritmo-genetico-inspirado-en-mecanismos-geneticos-microbianos\/","title":{"rendered":"P.e.t.r.i. (programming evolution through reiterated infection): dise\u00f1o de un algoritmo gen\u00e9tico inspirado en mecanismos gen\u00e9ticos microbianos"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carlos Perales Grav\u00e1n <\/strong><\/h2>\n<p>Petri, abreviatura de programming evolution through reiterated infection, es el nombre de un algoritmo gen\u00e9tico no convencional en el que un conjunto de poblaciones simulan colonias bacterianas en varias placas petri. Cada placa representa a un algoritmo gen\u00e9tico en el que el operador recombinaci\u00f3n es sustitu\u00eddo por un operador que simula a la conjugaci\u00f3n bacteriana, denomin\u00e1ndose al algoritmo que representa a cada placa petri como sbga (simple bacterial genetic algorithm). En petri inclu\u00edmos un operador transducci\u00f3n, simul\u00e1ndose la infecci\u00f3n repetida entre colonias por virus -bacteri\u00f3fagos- tambi\u00e9n simulados. El resultado ser\u00e1 el intercambio de las soluciones obtenidas por cada colonia bacteriana, lo que repercutir\u00eda en un mejor rendimiento del algoritmo, obteni\u00e9ndose finalmente la soluci\u00f3n \u00f3ptima al problema de optimizaci\u00f3n planteado. En la memoria, se demostr\u00f3 la utilidad pr\u00e1ctica de sbga y petri aplic\u00e1ndolos al dise\u00f1o de un circuito electr\u00f3nico, en particular el circuito electr\u00f3nico de un receptor de radio am y de la carcasa que lo contiene. Durante el proceso evolutivo cada colonia evolucion\u00f3 hasta encontrar un \u00f3ptimo relativo a las caracter\u00edsticas m\u00e1s id\u00f3neas o cualquier otra propiedad del circuito y carcasa. Los operadores conjugaci\u00f3n, mutaci\u00f3n y reproducci\u00f3n fueron aplicados en el algoritmo sbga dentro de cada una de las colonias o placas. El operador transducci\u00f3n fue aplicado en el algoritmo petri entre colonias.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>P.e.t.r.i. (programming evolution through reiterated infection): dise\u00f1o de un algoritmo gen\u00e9tico inspirado en mecanismos gen\u00e9ticos microbianos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 P.e.t.r.i. (programming evolution through reiterated infection): dise\u00f1o de un algoritmo gen\u00e9tico inspirado en mecanismos gen\u00e9ticos microbianos <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carlos Perales Grav\u00e1n <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Complutense de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 19\/05\/2008<\/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>Rafael Lahoz Beltra<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: alberto P\u00e9rez de vargas luque <\/li>\n<li>Jos\u00e9 Santos reyes (vocal)<\/li>\n<li>Francisco Vico vela (vocal)<\/li>\n<li>Manuel Alfonseca moreno (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carlos Perales Grav\u00e1n Petri, abreviatura de programming evolution through reiterated infection, es el nombre de un algoritmo [&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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