Helena Ramalhinho is one of the invited speakers at the MESS 2018 – Metaheuristics Summer School – from Design to Implementation – MESS 2018 – to be hold at 21-25 July 2018, Taormina, Italy
MESS 2018 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. As first edition, MESS 2018 wants to analyze all metaheuristics from its designing to its implementation. In particular, in MESS 2018 will be analyzed modern heuristic methods for search and optimization problems, as well as the classical exact optimization methods, seen also in the metaheuristics context.
Last July, the Universitat Pompeu Fabra host the 12th edition of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) ( 4th to 7th July 2017).
The MIC conference series was established in 1995 and this is its 12th edition. MIC is the main event focusing on the progress of the area of Metaheuristics and their applications. As in previous editions, MIC 2017 provided an opportunity to the international research community in Metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old and make new friends in a friendly and relaxed atmosphere.
MAEB 2017 is the annually Spanish more relevant congress in Metaheuristics and Bio-inspired Algorithms.
Helena Ramalhinho, together with Angel Juan, Abraham Duarte, Ana Viana and Belén Mélian were the chairs of the conferences. More than 300 researchers from all over the world assist to the conference.
Helena was invited to give a talk on “ILS, Hybrid ILS … and other extensions” at the workshop Fred80fest: Innovations in Optimization and Applications, in Boulder, Colorado (March 2017). This workshop was organized by Manuel Laguna, Gary Kochenberger David Woodruff in honor of Fred Glover. Fred has devoted his academic life to innovation, particularly in the area of optimization. The purpose of this workshop is to celebrate his accomplishments and discuss innovations that are enabling the solution of complex optimization problems in practical settings.
The title of the talk is “From ILS to Hybrid ILS … and other extensions“.
Abstract: Iterated Local Search (ILS) is a conceptually simple and efficient Metaheuristic. The main idea behind ILS is to drive the search not on the full space of all candidate solutions but on the solutions that are returned by some underlying algorithm, typically a local search heuristic. This method has been applied to many different optimization problems with more than 5,000 entries in Google Scholar. In this talk, we will review briefly the ILS method and focus on the extensions of ILS as the hybrid ILS approaches, the different hybridizations implementations and the advantages and disadvantages of these hybridizations. We will also discuss other ILS extensions as the SimILS (Simulation+ILS) to solve Stochastic Combinatorial Optimization Problems, and the MoILS, to solve Multiobjective Combinatorial Optimization Problems. In addition, we will review the most important applications of ILS and extensions in different areas, from Supply Chain Management to Health Care. Finally, future research topics will be presented.
Helena Ramalhinho was one of the members of the panel session of the 83rd EURO Working Group on Multicriteria Decision Aiding (EWG-MCDA) organized by the Research Group on Knowledge Engineering, ESADE with the topic:
Current and future trends in decision aiding systems for business and management
The panelists were:Helena Ramalhinho (UPF); Miguel Angel Ariño (IESE); Francesc Miralles (La Salle, URL); Marc Le Menestrel (UPF); Esteve Almirall (ESADE, URL).
Helena Ramalhinho was invited to participate in a Big Data Workshop at UPF, organized by the Engineering and Information and Communication Technology – Academic Unit (DTIC) and the Cátedra de Telefónica.
The main topic was the Big Data in the Public Sector. See the program.
See the video (in Spanish).