Short Course Handouts

Upload the Lecture notes of the Short Course here in pdf.


J. Alonso, Stanford, USA

Lecture 1: Multi-disciplinary Design, Analysis, and Optimization (MDAO): State of the Art and and Current and Future Research Directions
Lecture 2: Approaches to Include High-Fidelity Methods in MDAO


K. Deb, IIT Kanpur, India, Helsinki School of Economics, Finland

Lecture 1: Scope of Optimization in Practice and Niche of Evolutionary Methodologies
Lecture 2: Principles and Methodologies of Multi-Criterion Problem Solving


F. Hecht, LJLL-UPMC, France

Lecture 1: Study of the influence of mesh quality on Design Optimization procedures: some examples


J. Periaux, JYU, Finland

Lecture 1: Methods and tools for Multidisciplinary Design Optimization in Aerospace Engineering Using Evolutionary Algorithms, Game Theory and Hierarchical Topology and
Lecture 2: Hybridized Games and Evolutionary Algorithms for Solving Multi-Objective UCAVs Robust Design Optimization and Inverse Problems


O. Pironneau, LJLL-UPMC, France

Lecture 1: Two Algorithms for Optimal Shape design and
Lecture 2: Parallel Computing and Shape Optimization


Integrated Multi physics Simulations & Design Optimization