Multiobjective Optimization
Prof. Dr. Kathrin Klamroth
Jun.-Prof. Dr. Claudia Totzeck
Dr. Michael Stiglmayr
Lecture
Tuesday 8:30-10:00 and Thursday 16:00-17:30
Contents
- introductory examples, problem definition
- definition of optimality and existential statements
- scalarization methods
- multiobjective linear optimization
- particle-based multiobjective optimization
Prerequisites
Knowledge of linear, nonlinear and combinatorial optimization from the modules Operations Research I and II.
Literatur
Ehrgott, M.: Multicriteria Optimization. Springer Publishing House, Berlin Heidelberg, 2005
Moodle course
https://moodle.uni-wuppertal.de/course/view.php?id=27375 The password will be announced in the first lecture.
zuletzt bearbeitet am: 10.01.2022