The Dagstuhl Seminar 20031 on Scalability in Multiobjective Optimization that took place at Schloss Dagstuhl from January 12 -17, 2020, carried on a series of six previous Dagstuhl Seminars that were focused on Multiobjective Optimization. The continuing goal of this series is to strengthen the links between the Evolutionary Multiobjective Optimization (EMO) and the Multiple Criteria Decision Making (MCDM) communities, two of the largest communities concerned with multiobjective optimization today.
The focus of this edition of the seminar series was on three main aspects of scalability in multiobjective optimization (MO) and their interplay, namely (1) MO with many objective functions, (2) MO with many decision makers, and (3) MO with many variables and large amounts of data. The seminar attracted 42 participants from 13 different countries. Financial and organizational support by Schloss Dagstuhl and by the Leibniz-Zentrum für Informatik is gratefully acknowledged.
Organizers: Carlos M. Fonseca (University of Coimbra), Kathrin Klamroth (University of Wuppertal), Günter Rudolph (TU Dortmund) and Margaret M. Wiecek (Clemson University)
For further information, see the seminar website at https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=20031