MESS 2020 – Metaheuristics Summer School
\n– Learning & Optimization from Big Data –
\n27-31 July 2020, Catania, Italy<\/p>\n
MESS 2020 Webpage<\/a> *** ONCE MONTH LEFT!!! ***<\/p>\n ** APPLICATION DEADLINE: 5th March 2020 ** MESS 2020 is aimed at qualified and strongly motivated MSc and PhD All participants will have plenty of opportunities for debate and work Participants will be delivered a certificate of attendance indicating ** LIST OF LECTURERS<\/p>\n + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK More Lecturers will be announced soon.<\/p>\n ** SCHOOL DIRECTORS<\/p>\n + Pascal Bouvry, University of Luxembourg, Luxembourg ** METAHEURISTICS COMPETITION<\/p>\n All participants to the school will be involved in the ?Metaheuristics ** METAHEURISTICS COMPETITION CHAIRS<\/p>\n + Raffaele Cerulli, University of Salerno, Italy ** SHORT TALK & POSTER PRESENTATION<\/p>\n All participants may submit an abstract of their recent results, or The Abstracts must be submitted by *March 5, 2020*.<\/p>\n ** WORKSHOP CHAIRS<\/p>\n + Vincenzo Cutello, University of Catania, Italy *See Previous Edition – MESS 2018* ** MORE INFORMATION:<\/p>\n https:\/\/www.ants-lab.it\/mess2020\/\u00a0\u00a0 —\u00a0 \u00a0mess.school@ANTs-lab.it MESS 2020 – Metaheuristics Summer School – Learning & Optimization from Big Data – 27-31 July 2020, Catania, Italy MESS 2020 Webpage mess.school@ANTs-lab.it MESS on Facebook ———————————————————————– *** ONCE MONTH […]<\/p>\n","protected":false},"author":7,"featured_media":543,"template":"","meta":{"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[13],"class_list":["post-542","tribe_events","type-tribe_events","status-publish","has-post-thumbnail","hentry","tribe_events_cat-schools","cat_schools"],"_links":{"self":[{"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tribe_events\/542"}],"collection":[{"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/users\/7"}],"version-history":[{"count":3,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tribe_events\/542\/revisions"}],"predecessor-version":[{"id":547,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tribe_events\/542\/revisions\/547"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/media\/543"}],"wp:attachment":[{"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/media?parent=542"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tags?post=542"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/www.euro-online.org\/websites\/eume\/wp-json\/wp\/v2\/tribe_events_cat?post=542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nmess.school@ANTs-lab.it
\nMESS on Facebook<\/a>
\n———————————————————————–<\/p>\n
\nhttps:\/\/www.ants-lab.it\/mess2020\/application\/<\/a><\/p>\n
\nstudents; post-docs; young researchers, and both academic and
\nindustrial professionals to provide an overview on the several
\nmetaheuristics techniques, and an in-depth analysis of the
\nstate-of-the-art. The main theme of the 2020 edition is ?Learning and
\nOptimization from Big Data?, therefore MESS 2020 wants to focus on (i)
\nLearning for Metaheuristics; (ii) Optimization in Machine Learning;
\nand (iii) how Optimization and Learning affect the Metaheuristics
\nmaking them relevant in handling Big Data.<\/p>\n
\nwith leaders in the field, benefiting from direct interaction and
\ndiscussions in a stimulating environment. They will also have the
\npossibility to present their recently results and\/or their working in
\nprogress through oral or poster presentations, and interact with their
\nscientific peers, in a friendly and constructive environment.<\/p>\n
\nthe number of hours of lectures (36-40 hours of lectures). In
\naccording to the academic system all PhD and master students attending
\nto the summer school will may get 8 ECTS points.<\/p>\n
\n+ Swagatam Das, Indian Statistical Institute, Kolkata
\n+ Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial
\nIntelligence, Switzerland
\n+ Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK
\n+ Emma Hart, Edinburgh Napier University, UK
\n+ Mauricio Resende, AMAZON, USA
\n+ Roman Slowinski, Pozna? University of Technology, Poland
\n+ El-Ghazali Talbi, University of Lille 1, France
\n+ Daniele Vigo, University of Bologna, Italy<\/p>\n
\n+ Salvatore Greco, University of Catania, Italy
\n+ Ender Ozcan, University of Nottingham, UK
\n+ Mario Pavone, University of Catania, Italy
\n+ El-Ghazali Talbi, University of Lille 1, France
\n+ Daniele Vigo, University of Bologna, Italy<\/p>\n
\nCompetition?, where each of them will must develop a metaheuristic
\nsolution on the given problem. The top three of the competition
\nranking will receive the MESS 2020 prize. Students whose algorithm
\nwill rank in the first five top of the competition ranking, will be
\ninvited to submit a report\/manuscript of their work to be published in
\nthe special MESS 2020 Volume of the AIRO Springer Series.<\/p>\n
\n+ Andrea Schaerf, University of Udine, Italy<\/p>\n
\nworks in progress, for presentation and having the opportunities for
\ndebate and interact with leaders in the field. Mini-Workshop
\nOrganizers and Scientific Committee will review the abstracts and will
\nrecommend for the format of the presentation (oral or poster). All
\nabstracts will be published on the electronic hands-out book of the
\nsummer school.<\/p>\n
\n+ Paola Festa, University of Naples ?Federico II?, Italy
\n+ Isaac Triguero, University of Nottingham, UK<\/p>\n
\nhttps:\/\/www.ants-lab.it\/mess2018\/<\/a><\/p>\n
\nFacebook Group: https:\/\/www.facebook.com\/groups\/MetaheuristicsSchool\/<\/a>
\nTwitter: https:\/\/twitter.com\/MESS_school<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"