Multi-level approaches for optimal system design in railway applications

Alexandru BERBECEA (Université Lille Nord‐de‐France)

The focus of this thesis is centered on the optimal design of complex systems. Two main optimization approaches are addressed in this work: the metamodel‐based design optimization and the decomposition‐based complex systems optimal design.The use of computer‐aided design/engineering (CAD/CAE) software has become a regular practice in the engineering design process. The metamodel‐based optimization approach is intended to address the optimization of devices represented by such computational expensive simulation models, as the finite element analysis (FEA) in electromagnetics. The multi‐objective optimization stands as a decision‐making support tool,  helping the design engineer make an informed decision. The distributed computation is employed to reduce the overall time of the optimization process.