{"id":504,"date":"2019-11-21T10:18:46","date_gmt":"2019-11-21T09:18:46","guid":{"rendered":"https:\/\/catedraeficiencia.umh.es\/?page_id=504"},"modified":"2019-11-26T12:37:19","modified_gmt":"2019-11-26T11:37:19","slug":"conferencia-prof-el-ghazali-talbi","status":"publish","type":"page","link":"https:\/\/catedraeficiencia.umh.es\/en\/actividades\/2019-2\/conferencia-prof-el-ghazali-talbi\/","title":{"rendered":"<span lang=\"es\">(Espa\u00f1ol) Conferencia Prof. El-ghazali Talbi<\/span>"},"content":{"rendered":"<p><strong>Title:<\/strong>&nbsp;&nbsp;&nbsp;\u00abHow machine learning can help optimization\u00bb<\/p>\n<p><strong>Speaker:<\/strong>&nbsp;&nbsp;El-ghazali Talbi (Polytech\u2019Lille \u2013 University of Lille)<\/p>\n<p><strong><span lang=\"EN-US\">Date:<\/span><\/strong><span lang=\"EN-US\">&nbsp;Viernes&nbsp;29 de noviembre a las 11:00 horas.<\/span><\/p>\n<p><strong>Localization: <\/strong>&nbsp;Sala de Seminarios del CIO, Edificio Torretamarit,&nbsp;Universidad Miguel Hern\u00e1ndez&nbsp;(Campus de Elche)<\/p>\n<p style=\"text-align: justify\"><strong>Abstract: <\/strong>&nbsp;During the last years, research in applying machine learning (ML) in designing efficient, effective and robust metaheuristics become increasingly popular. Many of those data driven metaheuristics have generated high quality results and represent state-of-the-art optimization algorithms. Although various appproaches have been proposed, there is a lack of a comprehensive survey and taxonomy on this research topic. In this talk we will investigate the different opportunities for using ML into metaheuristics. We define in a unified way the various ways synergies that may be achieved. A detailed taxonomy is proposed according to the concerned search component: target optimization problem, low-level and high-level components of metaheuristics. Our goal is also to motivate researchers in optimization to include ideas from ML into metaheuristics. We identify some open research issues in this topic which needs further in-depth investigations.<\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Title:&nbsp;&nbsp;&nbsp;\u00abHow machine learning can help optimization\u00bb<br \/>\nSpeaker:&nbsp;&nbsp;El-ghazali Talbi (Polytech\u2019Lille \u2013 University of Lille)<br \/>\nDate:&nbsp;Viernes&nbsp;29 de noviembre a las 11:00 horas.<br \/>\nLocalization: &nbsp;Sala de Seminarios del CIO, Edificio Torretamarit,&nbsp;Universidad Miguel Hern\u00e1ndez&nbsp;(Campus de Elche)<br \/>\nAbstract: &nbsp;During the last years, research in applying machine learning (ML) in designing efficient, effective and robust metaheuristics become increasingly popular. Many of those data driven metaheuristics [&#8230;]<\/p>\n","protected":false},"author":277,"featured_media":0,"parent":486,"menu_order":19,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"_links_to":"","_links_to_target":""},"_links":{"self":[{"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/pages\/504"}],"collection":[{"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/users\/277"}],"replies":[{"embeddable":true,"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/comments?post=504"}],"version-history":[{"count":0,"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/pages\/504\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/pages\/486"}],"wp:attachment":[{"href":"https:\/\/catedraeficiencia.umh.es\/en\/wp-json\/wp\/v2\/media?parent=504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}