Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

390013 UK VGSCO: Computational Methods in Multiobjective Optimization (2021W)

Computational Methods in Multiobjective Optimization

Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


Language: English



Block, December 10-17, 2021

10 December, 09.45-11.15, online
13 December, 09.45-11.15 and 11.30-13.00
14 December, 09.45-11.15 and 11.30-13.00
15 December, 09.45-11.15 and 11.30-13.00
16 December 09.45-11.15 and 11.30-13.00
17 December 09.45-11.15


Aims, contents and method of the course

This lecture series gives an introduction to multiobjective optimization, i.e., to optimizing multiple objective functions at the same time. First, the basic optimality notions and the needed theoretical background will be given. Then, the main focus is on numerical methods for solving such types of problems. A widely used tool are scalarization approaches as, for instance, the well-known weighted sum method. We will examine such approaches and discuss their advantages and limits. Another topic will be descent methods, for which we examine optimality conditions as stationarity. The course continuous with direct methods for solving multiobjective optimization problems and with the examination of special classes as mixed-integer nonlinear problems or robustness concepts in case of uncertain multiobjective optimization. As multiobjective optimization is a special case of vector optimization, i.e., of optimizing a vector-valued objective function, and of set-optimization, i.e. of optimizing a set-valued objective function, we will also give outlooks to these more general problem classes.

Assessment and permitted materials


Minimum requirements and assessment criteria

Examination topics

Reading list

Association in the course directory

Last modified: Th 09.12.2021 16:49