{"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\/de\/ieee-optimization-competition\/","title":{"rendered":"IEEE-Optimierungswettbewerb"},"content":{"rendered":"

AUFRUF ZUM WETTBEWERB<\/strong><\/p>\n

\u00a0<\/strong>Die heuristische Optimierung hat in den letzten Jahren bedeutende Entwicklungen durchlaufen. Durch den Einsatz verschiedener neuartiger Mechanismen f\u00fcr eine verbesserte Suche und Ausnutzung haben moderne heuristische Optimierungswerkzeuge ein gro\u00dfes Versprechen f\u00fcr die L\u00f6sung von realen Problemen mit hoher mathematischer Komplexit\u00e4t gezeigt.<\/p>\n

Die Arbeitsgruppe \"Modern Heuristic Optimization\" des IEEE PES Power System Analysis, Computing, and Economics Committee organisiert eine Podiumsdiskussion in Kombination mit einem Wettbewerb mit dem Titel:<\/p>\n

\"Bewertung der Leistung von modernen heuristischen Optimierern\u00a0<\/strong>zu Problemen beim Betrieb intelligenter Netze\"<\/strong><\/p>\n

Die Sitzung findet auf der IEEE PES Generalversammlung 2017 statt. Dieses Panel und der Wettbewerb befassen sich mit zwei schwer zu l\u00f6senden Optimierungspr\u00fcfst\u00e4nden:<\/p>\n

i) Stochastische OPF-basierte Wirk-\/Blindleistungsdisposition;<\/p>\n

Die Entwickler: Sergio Rivera (Universidad Nacional de Colombia), Andres Romero (Universidad Nacional de San Juan), Jos\u00e9 Rueda (Delft University of Technology), Kwang Y. Lee (Baylor University), Istv\u00e1n Erlich (Universit\u00e4t Duisburg-Essen)<\/strong><\/p>\n

ii) Optimale Planung von verteilten Energieressourcen. Alle interessierten Forscher sind herzlich eingeladen, sich an dieser Initiative zu beteiligen und die Wirksamkeit ihrer Algorithmen auf diesen anspruchsvollen Pr\u00fcfst\u00e4nden zu ermitteln.<\/p>\n

Die Entwickler: Zita Vale und Jo\u00e3o Soares (Institut f\u00fcr Ingenieurwesen - Polytechnikum von Porto)<\/strong><\/p>\n

 <\/p>\n

Die Problemdefinitionen und Implementierungsrichtlinien sowie die Matlab-Codes f\u00fcr die\u00a0Testpaket kann heruntergeladen werden von\u00a0<\/strong>http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.<\/p>\n

oder<\/p>\n

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>\n

Die endg\u00fcltigen Ergebnisse sind an diese E-Mail-Adresse zu \u00fcbermitteln, bis\u00a030. M\u00e4rz 2017<\/u>\u00a0in \u00dcbereinstimmung mit den vorgegebenen Leitlinien. Die Implementierungscodes jedes Algorithmus, der am Wettbewerb teilnimmt, sollten ebenfalls zusammen mit den Endergebnissen eingereicht werden. Die eingereichten Codes sind \u00f6ffentlich zug\u00e4nglich und es sollten keine Anspr\u00fcche auf geistiges Eigentum erhoben werden.<\/p>\n

 <\/p>\n

Die Organisatoren werden die Codes zusammen mit einer vergleichenden Analyse auf der Grundlage der bereitgestellten Ergebnisse zwischen April und Mai 2017 unter\u00a0http:\/\/sites.ieee.org\/psace-mho\/2017-smart-grid-operation-problems-competition-panel\/<\/a>.\u00a0Die drei erstplatzierten Algorithmen\u00a0<\/strong>werden f\u00fcr die Pr\u00e4sentation bei der Podiumsdiskussion ausgew\u00e4hlt, f\u00fcr die nur PowerPoint-Pr\u00e4sentationen erforderlich sind.<\/p>\n

 <\/p>\n

 <\/p>\n

Wichtige Daten:<\/u><\/strong><\/p>\n

Aufruf zum Wettbewerb:\u00a014. Januar 2017<\/strong><\/p>\n

Best\u00e4tigung der Teilnahme:\u00a030. Januar 2017<\/strong><\/p>\n

\u00dcbermittlung von Ergebnissen und Codes:\u00a030. M\u00e4rz 2017<\/strong><\/p>\n

Bekanntgabe der drei bestplatzierten Algorithmen:\u00a028. April 2017<\/strong><\/p>\n

IEEE PES-Generalversammlung 2017:\u00a016-20 Juli 2017<\/strong><\/p>\n

_________________________________
\nSergio Rivera, I.E., Ph.D.
\nAssistenzprofessor
\nDepto. de Ing. El\u00e9ctrica y Electr\u00f3nica
\nUniversidad Nacional de Colombia
\nCarrera 30 Calle 45. Ciudad Universitaria. Edificio 453
\nBogota, Kolumbien
\nTel.: (57 1) 3165000, Durchwahl 14083
\nE-Mail: srriverar@unal.edu.co<\/a><\/p>\n

Web: \u00a0\u00a0http:\/\/amfarid.scripts.mit.edu\/people\/page12\/index.php<\/a><\/p>\n

http:\/\/engineering.dartmouth.edu\/liines\/people\/sergio\/index.php<\/a><\/p>","protected":false},"excerpt":{"rendered":"

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,<\/p>\n

Mehr lesen<\/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":"\nIEEE 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\/de\/ieee-optimization-competition\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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. 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