{"id":308,"date":"2022-12-09T15:03:32","date_gmt":"2022-12-09T14:03:32","guid":{"rendered":"https:\/\/www.mines-stetienne.fr\/fayol\/?page_id=308"},"modified":"2022-12-09T15:04:30","modified_gmt":"2022-12-09T14:04:30","slug":"these-preparee-par-david-gaudrie","status":"publish","type":"page","link":"https:\/\/www.mines-stetienne.fr\/fayol\/theses\/these-preparee-par-david-gaudrie\/","title":{"rendered":"Th\u00e8se pr\u00e9par\u00e9e par David GAUDRIE"},"content":{"rendered":"<p style=\"text-align: center\"><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/\">|D\u00e9partement G\u00e9nie math\u00e9matique et industriel |<\/a><br \/>\n<a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/projets\/\">| Projets<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/recherche\/departements\/departement-genie-de-l-environnement-et-des-organisations\/partenaires\/\">\u00a0|\u00a0<\/a><em><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/equipe\/\">\u00c9quipe<\/a><\/em>\u00a0|\u00a0<a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/publications\/\">Publications<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/partenaires\/\">\u00a0|\u00a0<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/partenaires\/\">Partenaires |<\/a><\/p>\n<p><strong>Titre :\u00a0<\/strong><span class=\"css-901oao css-16my406 r-1qd0xha r-ad9z0x r-bcqeeo r-qvutc0\">Optimisation bay\u00e9sienne multi-objectif en haute dimension<\/span><\/p>\n<p><strong>R\u00e9sum\u00e9 :\u00a0<\/strong>Dans cette th\u00e8se, nous nous int\u00e9ressons \u00e0 l&rsquo;optimisation simultan\u00e9e de fonctions co\u00fbteuses \u00e0 \u00e9valuer et d\u00e9pendant d&rsquo;un grand nombre de param\u00e8tres. Cette situation est rencontr\u00e9e dans de nombreux domaines tels que la conception de syst\u00e8mes en ing\u00e9nierie au moyen de simulations num\u00e9riques. L&rsquo;optimisation bay\u00e9sienne, reposant sur des m\u00e9ta-mod\u00e8les (processus gaussiens) est particuli\u00e8rement adapt\u00e9e \u00e0 ce contexte.<br \/>\nLa premi\u00e8re partie de cette th\u00e8se est consacr\u00e9e au d\u00e9veloppement de nouvelles m\u00e9thodes d&rsquo;optimisation multi-objectif assist\u00e9es par m\u00e9ta-mod\u00e8les. Afin d&rsquo;am\u00e9liorer le temps d&rsquo;atteinte de solutions Pareto optimales, un crit\u00e8re d&rsquo;acquisition est adapt\u00e9 pour diriger l&rsquo;algorithme vers une r\u00e9gion de l&rsquo;espace des objectifs pl\u00e9biscit\u00e9e par l&rsquo;utilisateur ou, en son absence, le centre du front de Pareto introduit dans nos travaux. Outre le ciblage, la m\u00e9thode prend en compte le budget d&rsquo;optimisation, afin de restituer un \u00e9ventail de solutions optimales aussi large que possible, dans la limite des ressources disponibles.<br \/>\nDans un second temps, inspir\u00e9e par l&rsquo;optimisation de forme, une approche d&rsquo;optimisation avec r\u00e9duction de dimension est propos\u00e9e pour contrer le fl\u00e9au de la dimension. Elle repose sur la construction, par analyse en composantes principales de solutions candidates, de variables auxiliaires adapt\u00e9es au probl\u00e8me, hi\u00e9rarchis\u00e9es et plus \u00e0 m\u00eame de d\u00e9crire les candidats globalement. Peu d&rsquo;entre elles suffisent \u00e0 approcher les solutions, et les plus influentes sont s\u00e9lectionn\u00e9es et prioris\u00e9es au sein d&rsquo;un processus gaussien additif. Cette structuration des variables est ensuite exploit\u00e9e dans l&rsquo;algorithme d&rsquo;optimisation bay\u00e9sienne qui op\u00e8re en dimension r\u00e9duite.<\/p>\n<p><strong>Financeur :<\/strong> Groupe PSA (Th\u00e8se Cifre)<\/p>\n<p><strong>Soutenance pr\u00e9vue :<\/strong> Octobre 2019<strong><br \/>\n<\/strong><\/p>\n<p><strong>Mots cl\u00e9s :<\/strong> Optimisation Multi-Objectif, M\u00e9ta-mod\u00e8les, M\u00e9canique des fluides num\u00e9rique<\/p>\n<p><strong>Directeurs de th\u00e8se :<\/strong> Rodolphe le Riche (CNRS, EMSE)<\/p>\n<p><strong>Co-encadrement\u00a0:<\/strong> Victor Picheny (INRA), Benoit Enaux, Vincent Herbert (Groupe PSA)<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/\">|D\u00e9partement G\u00e9nie math\u00e9matique et industriel |<\/a><br \/>\n<a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/projets\/\">| Projets<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/recherche\/departements\/departement-genie-de-l-environnement-et-des-organisations\/partenaires\/\">\u00a0|\u00a0<\/a><em><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/equipe\/\">\u00c9quipe<\/a><\/em>\u00a0|\u00a0<a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/publications\/\">Publications<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/partenaires\/\">\u00a0|\u00a0<\/a><a href=\"https:\/\/www.mines-stetienne.fr\/fayol\/recherche\/genie-mathematique-et-industriel\/partenaires\/\">Partenaires |<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>|D\u00e9partement G\u00e9nie math\u00e9matique et industriel | | Projets\u00a0|\u00a0\u00c9quipe\u00a0|\u00a0Publications\u00a0|\u00a0Partenaires | Titre :\u00a0Optimisation bay\u00e9sienne multi-objectif en haute dimension R\u00e9sum\u00e9 :\u00a0Dans cette th\u00e8se, nous nous int\u00e9ressons \u00e0 l&rsquo;optimisation simultan\u00e9e de fonctions co\u00fbteuses \u00e0 \u00e9valuer et d\u00e9pendant d&rsquo;un grand nombre de param\u00e8tres. Cette situation &hellip;<\/p>\n","protected":false},"author":1536,"featured_media":0,"parent":286,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"tags":[],"class_list":["post-308","page","type-page","status-publish","hentry"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","pp_force_visibility":null,"pp_subpost_visibility":null,"pp_inherited_force_visibility":null,"pp_inherited_subpost_visibility":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Th\u00e8se pr\u00e9par\u00e9e par David GAUDRIE - Institut Henri Fayol<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mines-stetienne.fr\/fayol\/theses\/these-preparee-par-david-gaudrie\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Th\u00e8se pr\u00e9par\u00e9e par David GAUDRIE - Institut Henri Fayol\" \/>\n<meta property=\"og:description\" content=\"|D\u00e9partement G\u00e9nie math\u00e9matique et industriel | | Projets\u00a0|\u00a0\u00c9quipe\u00a0|\u00a0Publications\u00a0|\u00a0Partenaires | Titre :\u00a0Optimisation bay\u00e9sienne multi-objectif en haute dimension R\u00e9sum\u00e9 :\u00a0Dans cette th\u00e8se, nous nous int\u00e9ressons \u00e0 l&rsquo;optimisation simultan\u00e9e de fonctions co\u00fbteuses \u00e0 \u00e9valuer et d\u00e9pendant d&rsquo;un grand nombre de param\u00e8tres. 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