Dear Colleagues,
This is the first
announcement for the XXIV EURO Working Group on Locational
Analysis meeting (EWGLA 2018) to be held in Edinburgh
(United Kingdom) on May 23-25, 2018. You can already find some
information regarding the conference at http://www.maths.ed.ac.uk/ewgla/.
More information will be added in due time, as, for example, the
precise schedule and the social activities. We anticipate that
there will be an optional visit to The Scotch Malt Whisky
Society for a whisky tasting and dinner at their premises in
Leith (limited places, more information to come).
Aims and Scope
The meeting intends to gather the operational research community
from different parts of the world to share experiences in the
field of locational analysis. We invite participation from all
areas related to location theory including, but not limited to:
* Network location.
* Continuous location.
* Discrete location.
* Obnoxious location.
* Competitive location.
* Hub location.
* Location and routing.
* Advanced location models.
* Location applications (logistics, network design).
* Exact and heuristic solution methods.
Contributions are welcome from academia, industry or the public sector. In addition to presentations, the meeting is intended to be a forum for exchange of recent experiences and results.
Important Dates
Abstract submission deadline: January 15, 2018.
Notification of acceptance: March 2, 2018.
Early registration: March 23, 2018.
Conference: May 23-25, 2018.
Scientific Commitee
Sibel Alumur Alev, University of Waterloo, Canada.
Sergio García Quiles, University of Edinburgh, UK (Chair).
Boglárka G.-Tóth, Budapest University of Technology and Economics;
Hungary.
Ioannis Giannikos, University of Patras, Greece.
Jörg Kalcsics, University of Edinburgh, UK (Chair).
Mercedes Landete Ruiz, Universidad Miguel Hernández, Spain.
Alfredo Marín Pérez, Universidad de Murcia, Spain.
Belén Martín Barragán, University of Edinburgh, UK.
Olivier Péton, École de Mines de Nantes, France.
Antonio Rodríguez Chía, Universidad de Cádiz, Spain.
Francisco Saldanha da Gama, Universidade de Lisboa, Portugal.
Anita Schöbel, Universität Göttingen, Germany.