Keynote Speaker ICORES 2019

Helena Ramalhinho was the Keynote Speaker at the ICORES 2019 - 8th International Conference on Operations Research and Enterprise Systems (ICORES), Prague, Czech Republic, 19-21 February 2019

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Iterated Local Search: Applications and Extensions


Iterated Local Search (ILS) is a conceptually simple and efficient well-known 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, local optimal solutions obtained by the application of a local search heuristic. This method has been applied to many different optimization problems having more than 9,000 entries in Google Scholar. In this talk, we will review briefly the ILS method emphasizing the extensions of ILS. We will describe three relevant types of extensions:  the hybrid ILS approaches combining ILS with other metaheuristics and/or exact methods; the SimILS (Simulation+ILS) to solve Stochastic Combinatorial Optimization Problems; the MoILS to solve Multiobjective Combinatorial Optimization. We will discuss the advantages and disadvantages of these extensions and present some applications, including real ones in areas like Supply Chain Management, Economic Development or Health Care. Finally, future research topics will be presented. 

Most recent publication in the topic:

Ramalhinho, H., (2019) Iterated Local Search: Applications and Extensions, Proceedings of the 8th International Conference on Operations Research and Enterprise Systems (ICORES) February 19-21, 2019., Prague, Czech Republic. Greg H. Parlier, Federico Liberatore, Marc Demange (editors) ISBN: 978-989-758-352-0, pp. 7-15.

Ramalhinho Lourenço, H., Martin, O. and Stützle, T. (2019), Iterated Local Search: Framework and Applications. In Handbook of Metaheuristics, International Series in Operations Research & Management Science 272, Gendreau, J.-Y. Potvin (eds.), Springer International Publishing AG 129-168, DOI 978-3-319-91086-4_5.

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Visit to RMIT, Melbourne, Australia

Helena taught a course on Metaheuristics for Combinatorial Optimization at the RMIT, Melbourne, Australia.

Erasmus+The course was financially supported by the ERASMUS+ International Program. Helena would like to thank the program and  all the team at the “Servei de Relacions Internacionals” of UPF that have helped in making this course possible.

RMIT2019The course will focus on Metaheuristics applied to Combinatorial Optimization to solve large-scale business problems based on the scientific method. Combinatorial Optimization problems like Routing, Location, and Scheduling problems will be described. Heuristics and metaheuristics algorithms, two relevant methodologies to solve these problems, are presented and explained in detail. It will be also presented some real applications of these problems in different areas as Operations Management, Healthcare, Marketing, Logistics, Supply Chain Management, etc. Finally, it will be discussed several real applications of metaheuristics to solve combinatorial optimization in different businesses as for example Seat, Inditex (Zara), CatLab, Area de Guissona, etc. Continue reading

MESS 2018


Helena participates on the Metaheuristics Summer School – from Design to Implementation – MESS 201821-25 July 2018, Achireale Italy as an invited Speaker. She gave a talk on Iterated Local Search – Extensions and Applications.

Euro 2018

IMG_7305 IMG_7321Helena participates in the EURO 2018 – 29th European Conference on Operational Research at Valencia, Spain, 8-11 July, 2018. Many members of the Business Analytics Research Group participate in this fantastic conference. The organization hold the 1st Women in Science (WiS) event in the EURO Conference. The main goal was to highlight the role of WiS throughout history.

Marcelus Fabri and Helena Ramalhinho presented a paper on “Optimizing Factory Logistics in a Automotive Industry

Abstract: Logistics chains do not end at the entrance of a Factory. Optimizing the processes of provision and disposal of the materials and the components for production lines are becoming key way to increase efficiency and decrease costs in manufacturing. This research mainly focuses on studying and modeling the Warehouse Shipping Routing Problem at the internal Warehouse at SEAT S.A. We propose a mathematical model and an Iterated Local Search metaheuristic combined with Simulation to solve this problem. We present computational results with real data and conclude that our proposed approach improves the actual solution and provides a tool to be used in scenarios of production on new car models.

Doctoral School of ASOCIO

ED_Helena_1 ED_Helena_3Helena Ramalhinho participates as invited professor in the Doctoral School organized by  the Colombian Association of Operational Research (ASOCIO) (“Escuela Doctoral de la Asociación Colombiana de Investigación de Operaciones”) held in Cali, Colombia in June 2018. She gave a 6 hours course about Metaheuristics and Applications.

She also visit the ITM (Instituto Tecnologico Metropolitano) and University of Medellin at Medellin and gave a talk in both universities.