(Master Vorlesung)

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

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