{"id":7627,"date":"2020-03-06T13:38:04","date_gmt":"2020-03-06T12:38:04","guid":{"rendered":"https:\/\/complex-systems-ai.com\/?page_id=7627"},"modified":"2022-12-03T23:03:44","modified_gmt":"2022-12-03T22:03:44","slug":"evolution-differentielle-pour-lalgorithme-genetique","status":"publish","type":"page","link":"https:\/\/complex-systems-ai.com\/es\/algoritmos-devolucion\/evolucion-diferencial-para-el-algoritmo-genetico\/","title":{"rendered":"Evoluci\u00f3n diferencial del algoritmo gen\u00e9tico"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"7627\" class=\"elementor elementor-7627\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b86e88f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b86e88f\" 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-315c7da\" data-id=\"315c7da\" 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-deb5450 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"deb5450\" 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\/algorithmes-devolution\/\">\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\">Algorithmes d'\u00e9volution<\/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-b71e58d\" data-id=\"b71e58d\" 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-d649f57 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"d649f57\" 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\/\">\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\">Page d'accueil<\/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-eaf470c\" data-id=\"eaf470c\" 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-d16899b elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"d16899b\" 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_%C3%A9volution_diff%C3%A9rentielle\" 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-76cac6e9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76cac6e9\" 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-5e98f6aa\" data-id=\"5e98f6aa\" 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-436bd297 elementor-widget elementor-widget-text-editor\" data-id=\"436bd297\" 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\">Contenus<\/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=\"Alternar tabla de contenidos\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/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-devolucion\/evolucion-diferencial-para-el-algoritmo-genetico\/#Algorithme-devolution-differentielle\" >Algorithme d&rsquo;\u00e9volution diff\u00e9rentielle<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Algorithme-devolution-differentielle\"><\/span>Algorithme d&rsquo;\u00e9volution diff\u00e9rentielle<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"has-text-align-justify\">L&rsquo;algorithme d&rsquo;\u00e9volution diff\u00e9rentielle consiste \u00e0 maintenir une population de solutions candidates soumises \u00e0 des it\u00e9rations de recombinaison, d&rsquo;\u00e9valuation et de s\u00e9lection. L&rsquo;approche de recombinaison implique la cr\u00e9ation de nouveaux composants de solution candidats bas\u00e9s sur la diff\u00e9rence pond\u00e9r\u00e9e entre deux membres de la population s\u00e9lectionn\u00e9s au hasard ajout\u00e9s \u00e0 un troisi\u00e8me membre de la population. Cela perturbe les membres de la population par rapport \u00e0 la propagation de l&rsquo;ensemble de la population. En conjonction avec la s\u00e9lection, l&rsquo;effet de perturbation auto-organise l&rsquo;\u00e9chantillonnage de l&rsquo;espace du probl\u00e8me, le liant \u00e0 des zones d&rsquo;int\u00e9r\u00eat connues.<\/p>\n\n<p class=\"has-text-align-justify\">L&rsquo;\u00e9volution diff\u00e9rentielle a une nomenclature sp\u00e9cialis\u00e9e qui d\u00e9crit la configuration adopt\u00e9e. Cela prend la forme de DE \/ x \/ y \/ z, o\u00f9 x repr\u00e9sente la solution \u00e0 perturber (telle al\u00e9atoire ou meilleure). Le y signifie le nombre de vecteurs de diff\u00e9rence utilis\u00e9s dans la perturbation de x, o\u00f9 un vecteur de diff\u00e9rence est la diff\u00e9rence entre deux membres de la population choisis au hasard, bien que distincts. Enfin, z signifie que l&rsquo;op\u00e9rateur de recombinaison effectu\u00e9, tel que bin pour binomial et exp pour exponentiel.<\/p>\n\n<p class=\"has-text-align-justify\">L&rsquo;\u00e9volution diff\u00e9rentielle a \u00e9t\u00e9 con\u00e7ue pour une <a href=\"https:\/\/complex-systems-ai.com\/es\/optimizacion-combinatoria\/\">optimisation<\/a> de fonction continue non lin\u00e9aire et non diff\u00e9renciable. Le facteur de pond\u00e9ration F dans [0; 2] contr\u00f4le l&rsquo;amplification de la variation diff\u00e9rentielle, une valeur de 0,8 est sugg\u00e9r\u00e9e. Le poids d\u00a0\u00bbe crossover CR dans [0; 1] contr\u00f4le de mani\u00e8re probabiliste la quantit\u00e9 de recombinaison, une valeur de 0,9 est sugg\u00e9r\u00e9e. La population initiale de solutions candidates doit \u00eatre g\u00e9n\u00e9r\u00e9e de mani\u00e8re al\u00e9atoire \u00e0 partir de l&rsquo;espace des solutions valides. Les configurations populaires sont DE \/ rand \/ 1 \/ * et DE \/ best \/ 2 \/ *.<\/p>\n\n<p class=\"has-text-align-justify\">L&rsquo;algorithme suivant d\u00e9crit l&rsquo;algorithme d&rsquo;\u00e9volution diff\u00e9rentielle pour minimiser une fonction de co\u00fbt, en particulier une configuration DE \/ -rand \/ 1 \/ bin.<\/p>\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-7625\" src=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/diffgenetic.png?w=405\" alt=\"\u00e9volution diff\u00e9rentielle\" width=\"405\" height=\"422\" title=\"\" srcset=\"https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/diffgenetic.png 405w, https:\/\/complex-systems-ai.com\/wp-content\/uploads\/2020\/03\/diffgenetic-288x300.png 288w\" sizes=\"(max-width: 405px) 100vw, 405px\" \/><\/figure>\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>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Algoritmos de evoluci\u00f3n P\u00e1gina de inicio de Wiki Algoritmo de evoluci\u00f3n diferencial El algoritmo de evoluci\u00f3n diferencial consiste en mantener una poblaci\u00f3n de soluciones candidatas sujetas a iteraciones de recombinaci\u00f3n, ... <\/p>","protected":false},"author":1,"featured_media":0,"parent":7110,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7627","page","type-page","status-publish","hentry"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7627","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=7627"}],"version-history":[{"count":2,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7627\/revisions"}],"predecessor-version":[{"id":18871,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7627\/revisions\/18871"}],"up":[{"embeddable":true,"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/pages\/7110"}],"wp:attachment":[{"href":"https:\/\/complex-systems-ai.com\/es\/wp-json\/wp\/v2\/media?parent=7627"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}