Séminaire de Mécanique d'Orsay

Le Jeudi 14 avril à 14h00 - Salle de conférences du LIMSI

Robust Design with Multiple Objectives

Lisa Kusch
TU Kaiserslautern

Engineering design often involves the optimization of different competing objectives. A further significant step to realistic multiobjective designs is to take into account uncertainties for finding robust optimal solutions.
As the costs of a multi-objective optimization are already very high, it is important to use efficient approaches for optimization and uncertainty quantification. We apply a nonintrusive polynomial chaos approach for uncertainty quantification and the deterministic Epsilon -Constraint method for multi-objective aerodynamic shape optimization in SU2. We present the use of one-shot methods for optimization in this context and discuss the use of robustness measures.