Almost all practical problems involve more than one and often conflicting objectives. Prominent examples are environmental concerns versus costs or service quality versus profit. 

At the yearly RAMOO workshop, researchers from all over the world present their latest contributions to the multi-objective optimization field.

This year's keynote talks are on the topics Multiobjective Optimization Methods for Neural Network Training, opens an external URL in a new window and Multivariate Dynamic Programming: from the Mean-Risk Problem to dynamic Nash games, opens an external URL in a new window and they are given by Kathrin Klamroth (University of Wuppertal) and Birgit Rudloff (Vienna University of Economics and Business). 

The complete program can be found here, opens an external URL in a new window.

After Vienna, Nantes, Lancaster, Kaiserslautern, Nantes, and Aarhus this year's workshop was supposed to take place in Linz. However, because of the current situation it will take place online. Participation is free of charge but registration is mandatory and still possible here, opens an external URL in a new window until September 10, 2020. 

All registered participants will receive all required information concerning how to join the online meeting a few days before the workshop.