Invited Sessions

Invited Sessions and Tracks

1. Scheduling organized by Rubén Ruiz (rruiz@eio.upv.es).
2. Variable Neighborhood Searchorganized by Vitor Coelho (vncoelho@gmail.com) and Eduardo G. Pardo (eduardo.pardo@upm.es) and Nenad Mladenovic (nenad@mi.sanu.ac.rs).
3. Logistics and Supply Chain Management organized by Djamila Ouelhadj (djamila.ouelhadj@port.ac.uk).
4. Metaheuristics in Education organized by Jana Ries (jana.ries@port.ac.uk) and Sebastián Ventura (sventura@uco.es).
   
5. Air Transportation and Airport Logistics organized by Daniel Guimarans (d.guimarans.serrano@hva.nl).
6. Simheuristics organized by Markus Rabe (markus.rabe@tu-dortmund.de) and Christine Currie (christine.currie@soton.ac.uk).
7. Sports and Metaheuristics organized by Celso Ribeiro (celso@ic.uff.br).
8. Transportation organized by Javier Faulin (javier.faulin@unavarra.es).
9. Smart Cities organized by Enrique Alba (eat@lcc.uma.es) and Jamal Toutouh (jamal@lcc.uma.es).
10. Iterated Local Search organized by Thomas Stützle (stuetzle@ulb.ac.be).
11. Automated Algorithm Design organized by Thomas Stützle (stuetzle@ulb.ac.be), Manuel López-Ibáñez (manuel.lopez-ibanez@manchester.ac.uk) and Leslie Perez (leslie.perez.caceres@ulb.ac.be).
12. Finance organized by Renatas Kizys (kizys@port.ac.uk), Montse Guillem (mguillen@ub.edu) and Angels Fito (afitob@uoc.edu).
13. Metaheuristics in Healthcare organized by Patrick Hirsch (hirsch@boku.ac.at).
14. Tabu Search organized by Fred Glover (fred.glover@colorado.edu).
15. Metaheuristics in Agriculture and Forest Management organized by Lluis Pla (lmpla@matematica.udl.cat).
16. Metaheuristics in Cutting and Packing organized by José Fernando Oliveira (jfo@gcloud.fe.up.pt).
17. Metaheuristics in Retail Operations organized by Pedro Amorim (pamorim@fe.up.pt) and Alexander Huebner (Alexander.Huebner@ku.de).
18. GRASP organized by Mauricio Resende (mresende@gmail.com)
19. Matheuristics organized by Vittorio Maniezzo (vittorio.maniezzo@unibo.it).
20. Metaheuristics in Cloud Computing organized by Leonard Heilig (leonard.heilig@uni-hamburg.de), Eduardo Lalla-Ruiz (eduardo.lalla-ruiz@uni-hamburg.de), and Stefan Voss (stefan.voss@hamburg.de)
21. Metaheuristics in Wireless Networks organized by Mark Sevaux (marc.sevaux@univ-ubs.fr), Fabian Castaño (fabian.castano@upb.edu.co), Raffaele Cerulli (raffaele@unisa.it) , André Rossi (andre.rossi@univ-angers.fr).
22. Metaheuristics and Machine Learning organized by El-Ghazali Talbi (el-ghazali.talbi@univ-lille1.fr).
    • session: Synergy between optimization and simulation organized by  Peter Korosec (peter.korosec@ijs.si), N. Melab (nouredine.melab@univ-lille1.fr), Prof. E-G. Talbi (el-ghazali.talbi@univ-lille1.fr)
23. Timetabling organized by Greet Vanden Berghe (vandenberghe@cs.kuleuven.be) and Pieter Smet (pieter.smet@cs.kuleuven.be).
24. Metaheuristics in nonsmooth nonconvex optimization and applications organized by Albet Ferrer (ferrer@upc.edu) and Adil Baghirov(a.bagirov@federation.edu.au).

Industrial Applications of Metaheuristics

chair: Angel Juan (ajuanp@uoc.edu).
In a smarter world, metaheuristic optimization algorithms are becoming a key tool for many industries around the world that need to increase their efficiency level and become more environmental friendly. This includes service industries (e.g., logistics & transportation, health care, finance and insurance, telecommunications, energy, smart cities, etc.) as well as manufacturing industries (e.g., automotive, robotics, etc.). Metaheuristic algorithms are used today in all these industries to support informed decisions by providing optimal or near-optimal solutions to complex strategical, tactical, and operational problems. Metaheuristics work together with business analytics, business intelligence, and big data in order to provide competitive advantage to your company.

The MIC’17/MAEB’17 Industrial Track will provide an excellent opportunity for all kind of enterprises to interact with the most prominent researchers in the area of metaheuristics optimization and their industrial applications, as well as to explore cooperation opportunities with R&D groups that contribute to make your company more efficient and competitive by optimizing critical processes and systems with the help of intelligent algorithms, operations research, computer science, and analytics.