{"id":7842,"date":"2020-03-17T11:52:34","date_gmt":"2020-03-17T10:52:34","guid":{"rendered":"https:\/\/complex-systems-ai.com\/?page_id=7842"},"modified":"2022-12-03T23:03:46","modified_gmt":"2022-12-03T22:03:46","slug":"algorithme-de-distribution-marginale-univariee","status":"publish","type":"page","link":"https:\/\/complex-systems-ai.com\/es\/algoritmos-probabilisticos\/algoritmo-de-distribucion-marginal-univariante\/","title":{"rendered":"Algoritmo de distribuci\u00f3n marginal univariante"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"7842\" class=\"elementor elementor-7842\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cd5b181 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cd5b181\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-547f2f2\" data-id=\"547f2f2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9eca6aa elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"9eca6aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/complex-systems-ai.com\/es\/algoritmos-probabilisticos\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Algoritmos probabil\u00edsticos<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-cb13cc0\" data-id=\"cb13cc0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d5c4462 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"d5c4462\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/complex-systems-ai.com\/es\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Pagina de inicio<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-91c432d\" data-id=\"91c432d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cf5e770 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"cf5e770\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/fr.wikipedia.org\/wiki\/Algorithme_%C3%A0_estimation_de_distribution\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Wiki<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1ea353ad elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1ea353ad\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-374923b\" data-id=\"374923b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3d3995b4 elementor-widget elementor-widget-text-editor\" data-id=\"3d3995b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Contenido<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Tabla de contenido alternativo\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Palanca<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/complex-systems-ai.com\/es\/algoritmos-probabilisticos\/algoritmo-de-distribucion-marginal-univariante\/#Algorithme-de-distribution-marginale-univariee\" >Algoritmo de distribuci\u00f3n marginal univariante<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Algorithme-de-distribution-marginale-univariee\"><\/span>Algoritmo de distribuci\u00f3n marginal univariante<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"has-text-align-justify\">La estrategia de procesamiento de informaci\u00f3n del algoritmo de distribuci\u00f3n marginal univariante consiste en utilizar la frecuencia de los componentes de una poblaci\u00f3n de soluciones candidatas en la construcci\u00f3n de nuevas soluciones candidatas. Esto se logra midiendo primero la frecuencia de cada componente en la poblaci\u00f3n (la probabilidad marginal univariante) y usando las probabilidades para influir en la selecci\u00f3n probabil\u00edstica de componentes en la construcci\u00f3n de componentes de nuevas soluciones candidatas.<\/p>\n\n<p class=\"has-text-align-justify\">El siguiente algoritmo proporciona una <a href=\"https:\/\/complex-systems-ai.com\/es\/algoritmico\/pseudo-lenguaje-y-diagrama-de-flujo\/\">pseudoc\u00f3digo<\/a> del algoritmo de distribuci\u00f3n marginal univariante para minimizar una funci\u00f3n de costo.<\/p>\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-7840 size-full\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/umda.png\" alt=\"algoritmo de distribuci\u00f3n marginal univariante\" width=\"691\" height=\"500\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/umda.png 691w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/umda-300x217.png 300w\" sizes=\"(max-width: 691px) 100vw, 691px\" \/><\/figure>\n\n<p class=\"has-text-align-justify\">El UMDA fue dise\u00f1ado para problemas donde los componentes de una soluci\u00f3n son independientes (separables linealmente).<\/p>\n\n<p class=\"has-text-align-justify\">Se necesita un m\u00e9todo de selecci\u00f3n para identificar el subconjunto de buenas soluciones a partir de las cuales calcular las probabilidades marginales univariadas. Se pueden utilizar muchos m\u00e9todos de selecci\u00f3n del campo de la computaci\u00f3n evolutiva.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Algoritmos probabil\u00edsticos Homepage Wiki Algoritmo de distribuci\u00f3n marginal univariante La estrategia de procesamiento de informaci\u00f3n del Algoritmo de distribuci\u00f3n marginal univariante es utilizar... <\/p>","protected":false},"author":1,"featured_media":0,"parent":7129,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7842","page","type-page","status-publish","hentry"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7842","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/comments?post=7842"}],"version-history":[{"count":5,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7842\/revisions"}],"predecessor-version":[{"id":18885,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7842\/revisions\/18885"}],"up":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7129"}],"wp:attachment":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/media?parent=7842"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}