[Opt-Net] FAU Optimization Challenge

Andreas Bärmann Andreas.Baermann at math.uni-erlangen.de
Mon May 18 20:49:38 CEST 2015

Dear Optimization Community,

The University of Erlangen (FAU), Germany, is organizing an optimization 
challenge focussed on optimal train timetables. The task is to come up 
with models and algorithms to compute timetables that are minimal with 
respect to the resulting energy cost by the operation of the trains. All 
researchers (from students up to professors) may participate in teams 
between two and five people. The only condition is that at least one 
team member is non-German or is affiliated to a non-German university. 
Teams affiliated to the University of Erlangen may take part out of 

We especially encourage young scientists to take part. So feel free to 
pass this email to your students. The team with the best solutions to 
the challenge instances will be invited to Erlangen for one week this 
October, all expenses covered. During this time, the winners have the 
opportunity to visit our research group on discrete optimization, 
discuss their solutions with us, explore possibilities for future 
collaboration or career development, get to know the cultural and 
culinary highlights of Germany in general and Bavaria in particular, and 
finally present their work at the popular science fair "Long Night of 

More information can be found here:

Note that the FAU Open Research Challenge comprises three seperate 
whose topics are digital forensics, discrete optimization, and photonic 

The homepage of our optimization challenge is here:

The challenge is already online and closes by the end of July.

We look forward to your participation and will be happy to greet the 
winners here in Erlangen!

Prof. Dr. Alexander Martin and
Dipl-Math. Andreas Baermann
Chair of Economics, Discrete Optimization, and Mathematics
FAU Erlangen-Nuernberg, Germany

PS: You can ask your questions concerning the rules of the competition 
and the functioning of the challenge website here:

For questions concerning the formation of teams and the optimization 
task itself, you can use the challenge forum on the website (preferred) 
or directly send them to:

Andreas Baermann
Friedrich-Alexander-Universitaet Erlangen-Nuernberg
Department Mathematik
Lehrstuhl fuer Wirtschaftsmathematik
Cauerstraße 11
91058 Erlangen

E-Mail: Andreas.Baermann[at]math.uni-erlangen.de
Tel.: +49 (9131) 85-67159
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.zib.de/pipermail/opt-net/attachments/20150518/ee860df2/attachment-0001.html>

More information about the Opt-Net mailing list