{"id":1697,"date":"2017-01-31T08:59:51","date_gmt":"2017-01-31T08:59:51","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=1697"},"modified":"2017-02-01T13:34:49","modified_gmt":"2017-02-01T13:34:49","slug":"ieee-optimization-competition","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/fr\/ieee-optimization-competition\/","title":{"rendered":"Concours d'optimisation de l'IEEE"},"content":{"rendered":"<p><strong>APPEL \u00c0 CONCOURS<\/strong><\/p>\n<p><strong>\u00a0<\/strong>L'optimisation heuristique a connu d'importants d\u00e9veloppements ces derni\u00e8res ann\u00e9es. En utilisant diff\u00e9rents m\u00e9canismes novateurs pour am\u00e9liorer l'exploration et l'exploitation de la recherche, les outils modernes d'optimisation heuristique se sont r\u00e9v\u00e9l\u00e9s tr\u00e8s prometteurs pour r\u00e9soudre des probl\u00e8mes du monde r\u00e9el \u00e0 forte complexit\u00e9 math\u00e9matique.<\/p>\n<p>Le groupe de travail sur l'optimisation heuristique moderne sous l'\u00e9gide du comit\u00e9 IEEE PES Power System Analysis, Computing, and Economics organise une session de panel combin\u00e9e \u00e0 une comp\u00e9tition intitul\u00e9e :<\/p>\n<p>\"<strong>\u00c9valuation des performances des optimiseurs heuristiques modernes\u00a0<\/strong><strong>sur les probl\u00e8mes d'exploitation des r\u00e9seaux intelligents\"<\/strong><\/p>\n<p>La session aura lieu lors de la r\u00e9union g\u00e9n\u00e9rale 2017 de l'IEEE PES. Ce panel et ce concours concernent deux bancs d'essai d'optimisation difficiles \u00e0 r\u00e9soudre :<\/p>\n<p>i) R\u00e9partition de la puissance active-r\u00e9active bas\u00e9e sur l'OPF stochastique ;<\/p>\n<p><strong>D\u00e9veloppeurs : Sergio Rivera (Universidad Nacional de Colombia), Andres Romero (Universidad Nacional de San Juan), Jos\u00e9 Rueda (Delft University of Technology), Kwang Y. Lee (Universit\u00e9 Baylor), Istv\u00e1n Erlich (Universit\u00e9 Duisburg-Essen).<\/strong><\/p>\n<p>ii) Programmation optimale des ressources \u00e9nerg\u00e9tiques distribu\u00e9es. Tous les chercheurs int\u00e9ress\u00e9s sont cordialement invit\u00e9s \u00e0 prendre part \u00e0 cette initiative et \u00e0 v\u00e9rifier l'efficacit\u00e9 de leurs algorithmes sur ces bancs d'essai difficiles.<\/p>\n<p><strong>D\u00e9veloppeurs : Zita Vale et Jo\u00e3o Soares (Institut d'ing\u00e9nierie - Polytechnique de Porto)<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Les d\u00e9finitions des probl\u00e8mes et les directives de mise en \u0153uvre, ainsi que les codes Matlab pour le processus d'\u00e9valuation de l'efficacit\u00e9 de l'aide.\u00a0<strong>peut \u00eatre t\u00e9l\u00e9charg\u00e9e \u00e0 partir de\u00a0<\/strong><a href=\"http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/\">http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.<\/p>\n<p>ou<\/p>\n<p><a href=\"https:\/\/www.researchgate.net\/project\/2017-Grid-Optimization-Competition-Design-Application-of-Modern-Heuristic-Optimization-Algorithms-Considering-the-Stochastic-Behavior-of-Wind-Solar-and-Small-Hydro-Generation-for-Solving-Optimal-Acti\">https:\/\/www.researchgate.net\/project\/2017-Grid-Optimization-Competition-Design-Application-of-Modern-Heuristic-Optimization-Algorithms-Considering-the-Stochastic-Behavior-of-Wind-Solar-and-Small-Hydro-Generation-for-Solving-Optimal-Acti<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Les r\u00e9sultats finaux doivent \u00eatre soumis \u00e0 cette adresse \u00e9lectronique jusqu'\u00e0\u00a0<u>30 mars 2017<\/u>\u00a0conform\u00e9ment aux directives fournies. Les codes d'impl\u00e9mentation de chaque algorithme participant au concours doivent \u00e9galement \u00eatre soumis avec les r\u00e9sultats finaux. Les codes soumis seront dans le domaine public et aucune revendication de propri\u00e9t\u00e9 intellectuelle ne doit \u00eatre faite.<\/p>\n<p>&nbsp;<\/p>\n<p>Les organisateurs annonceront les codes ainsi qu'une analyse comparative bas\u00e9e sur les r\u00e9sultats fournis entre avril et mai 2017 \u00e0 l'adresse suivante\u00a0<a href=\"http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/\">http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.\u00a0<strong>Les trois premiers algorithmes class\u00e9s\u00a0<\/strong>seront s\u00e9lectionn\u00e9s pour \u00eatre pr\u00e9sent\u00e9s lors du panel, pour lequel seules des pr\u00e9sentations PowerPoint sont requises.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong><u>Dates importantes :<\/u><\/strong><\/p>\n<p>Appel \u00e0 la concurrence :\u00a0<strong>14 janvier 2017<\/strong><\/p>\n<p>Confirmation de la participation :\u00a0<strong>30 janvier 2017<\/strong><\/p>\n<p>Soumission des r\u00e9sultats et des codes :\u00a0<strong>30 mars 2017<\/strong><\/p>\n<p>Annonce des trois meilleurs algorithmes class\u00e9s :\u00a0<strong>28 avril 2017<\/strong><\/p>\n<p>R\u00e9union g\u00e9n\u00e9rale 2017 de l'IEEE PES :\u00a0<strong>16-20 juillet 2017<\/strong><\/p>\n<p>_________________________________<br \/>\nSergio Rivera, I.E., Ph.D.<br \/>\nProfesseur adjoint<br \/>\nDepto. de Ing. El\u00e9ctrica y Electr\u00f3nica<br \/>\nUniversidad Nacional de Colombia<br \/>\nCarrera 30 Calle 45. Ciudad Universitaria. Edificio 453<br \/>\nBogota, Colombie<br \/>\nT\u00e9l : (57 1) 3165000 ext. 14083<br \/>\nCourriel : srriverar<a href=\"mailto:caacortesgu@unal.edu.co\">@unal.edu.co<\/a><\/p>\n<p>Web : \u00a0\u00a0<a href=\"http:\/\/amfarid.scripts.mit.edu\/people\/page12\/index.php\">http:\/\/amfarid.scripts.mit.edu\/people\/page12\/index.php<\/a><\/p>\n<p><a href=\"http:\/\/engineering.dartmouth.edu\/liines\/people\/sergio\/index.php\">http:\/\/engineering.dartmouth.edu\/liines\/people\/sergio\/index.php<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>APPEL \u00c0 CONCOURS L'optimisation heuristique a connu d'importants d\u00e9veloppements ces derni\u00e8res ann\u00e9es. En utilisant diff\u00e9rents m\u00e9canismes novateurs pour am\u00e9liorer l'exploration et l'exploitation de la recherche, les outils modernes d'optimisation heuristique se sont r\u00e9v\u00e9l\u00e9s tr\u00e8s prometteurs pour r\u00e9soudre des probl\u00e8mes du monde r\u00e9el \u00e0 haute complexit\u00e9 math\u00e9matique. Le groupe de travail sur l'optimisation heuristique moderne dans le cadre de l'IEEE PES Power System Analysis,<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/fr\/ieee-optimization-competition\/\" title=\"Lire la suite\">Lire la suite<\/a><\/div>","protected":false},"author":15,"featured_media":1710,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[247],"tags":[222,249,248,250,251],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>IEEE Optimization Competition - The Kolabtree Blog<\/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.kolabtree.com\/blog\/fr\/ieee-optimization-competition\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IEEE Optimization Competition\" \/>\n<meta property=\"og:description\" content=\"CALL FOR COMPETITION \u00a0Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. The Working Group on Modern Heuristic Optimization under the IEEE PES Power System Analysis,Read More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/fr\/ieee-optimization-competition\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2017-01-31T08:59:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-02-01T13:34:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/01\/algorithm.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"775\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Sergio Rivera\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sergio Rivera\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"IEEE Optimization Competition - The Kolabtree Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/fr\/ieee-optimization-competition\/","og_locale":"fr_FR","og_type":"article","og_title":"IEEE Optimization Competition","og_description":"CALL FOR COMPETITION \u00a0Heuristic optimization has undergone significant developments in recent years. By using different novel mechanisms for improved search exploration and exploitation, modern heuristic optimization tools have demonstrated a great promise for solving real world problems with high mathematical complexity. 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