{"id":1190,"date":"2016-04-21T09:36:46","date_gmt":"2016-04-21T07:36:46","guid":{"rendered":"https:\/\/cio.umh.es\/?p=1190"},"modified":"2016-04-21T09:36:46","modified_gmt":"2016-04-21T07:36:46","slug":"conferencia-del-prof-dr-el-ghazali-talbi","status":"publish","type":"post","link":"https:\/\/cio.umh.es\/en\/2016\/04\/21\/conferencia-del-prof-dr-el-ghazali-talbi\/","title":{"rendered":"Conferencia del prof. Dr. El-Ghazali Talbi"},"content":{"rendered":"

T\u00edtulo:<\/strong> Una visi\u00f3n unificada desde el punto de vista de la metaheur\u00edstica para la resoluci\u00f3n de modelos de optimizaci\u00f3n multiobjetivo.
\nPonente:<\/strong> El-Ghazali Talbi
\nDate:<\/strong> 27\/04\/2016 11:00 h
\nLugar:<\/strong> Sala de Seminarios, Edificio Torretamarit
\nResumen:<\/strong>
\nEl objetivo de esta presentaci\u00f3n es el de mostrar una visi\u00f3n unificada de los m\u00e9todos existentes basados en metaheur\u00edsticos para la resoluci\u00f3n de modelos de optimizaci\u00f3n multiobjetivo. Se introduce un modelo robusto y flexible teniendo en cuenta tres puntos principales: asignaci\u00f3n, preservaci\u00f3n de la diversidad y elitismo. Dicho modelo se valida mediante la demostraci\u00f3n de c\u00f3mo los m\u00e9todos de la literatura pueden encajar perfectamente con \u00e9l. As\u00ed, se propone una implementaci\u00f3n modular que se integra satisfactoriamente en un marco de \u00e1mbito general dedicado al dise\u00f1o reutilizable de t\u00e9cnicas para la optimizaci\u00f3n metaheur\u00edstica multiobjetivo, como los algoritmos evolutivos.
\nBreve Bio:<\/strong>
\nEl-Ghazali Talbi posee un m\u00e1ster y un doctorado en investigaci\u00f3n en Ciencias de la Computaci\u00f3n por el Instituto Nacional Polit\u00e9cnico de Grenoble, en Francia. Es profesor titular de la Universidad de Lille y director del grupo de investigaci\u00f3n DOLPHIN perteneciente al laboratorio de Ciencias de la Computaci\u00f3n de Lille (LIFL, Universidad de Lille 1, CNRS) y del Institut National de Recherche d\u00e9di\u00e9 au Num\u00e9rique (INRIA-Lille Nord Europe). Sus temas de investigaci\u00f3n actuales se centran en el campo de la optimizaci\u00f3n multiobjetivo, los algoritmos paralelos, la metaheur\u00edstica, la optimizaci\u00f3n combinatoria, los cl\u00fasters y la computaci\u00f3n en la nube, la optimizaci\u00f3n cooperativa e h\u00edbrida, y aplicaciones a log\u00edstica\/transporte, bioinform\u00e1tica y redes. Title: <\/strong>A unified view of metaheuristics for multi-objective optimization
\nSpeaker: <\/strong> El-Ghazali Talbi
\nDate:<\/strong> 27\/04\/2016 11:00 h
\nLocation:<\/strong> Sala de Seminarios, Edificio Torretamarit
\nAbstract:<\/strong>
\nThe aim of this talk is to present a unified view of metaheuristic approaches for multi-objective optimization. Following three main issues dealing with fitness assignment, diversity preservation and elitism, a robust and flexible model is introduced. This model is validated by demonstrating how state-of-the-art methods can conveniently fit into it. Then, a modular implementation is proposed and is successfully integrated in a general purpose software framework dedicated to the reusable design of multi-objective metaheuristic optimization techniques such as evolutionary algorithms.
\nBrief Bio:<\/strong>
\nEl-Ghazali Talbi received the Master and Ph.D. degrees in Computer Science from the Institut National Polytechnique de Grenoble in France. He is a full Professor at the University of Lille and the head of DOLPHIN research group from both the Lille’s Computer Science laboratory (LIFL, Universite Lille 1, CNRS) and INRIA Lille Nord Europe. His current research interests are in the field of multi-objective optimization, parallel algorithms, metaheuristics, combinatorial optimization, cluster and cloud computing, hybrid and cooperative optimization, and applications to logistics\/transportation, bioinformatics and networks. Professor Talbi has to his credit more than 150 international publications including journal papers, book chapters and conferences proceedings.<\/p>","protected":false},"excerpt":{"rendered":"

T\u00edtulo: Una visi\u00f3n unificada desde el punto de vista de la metaheur\u00edstica para la resoluci\u00f3n de modelos de optimizaci\u00f3n multiobjetivo.
\nPonente: El-Ghazali Talbi
\nFecha: 27\/04\/2016 11:00 h
\nLugar: Sala de Seminarios, Edificio Torretamarit
\nResumen:
\nEl objetivo de esta presentaci\u00f3n es el de mostrar una visi\u00f3n unificada de los m\u00e9todos existentes basados en metaheur\u00edsticos para la resoluci\u00f3n de modelos de optimizaci\u00f3n […]<\/p>","protected":false},"author":3477,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[4,873],"tags":[],"_links":{"self":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/1190"}],"collection":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/users\/3477"}],"replies":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/comments?post=1190"}],"version-history":[{"count":0,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/1190\/revisions"}],"wp:attachment":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/media?parent=1190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/categories?post=1190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/tags?post=1190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}