Deterministic and Stochastic Optimization Methods and Applications
K.C. Giannakoglou

Handouts, Notes, Software

Introduction and Stochastic Optimization methods (Evolutionary Algorithms).

Cost Reduction in Gradient-Free Optimization.

Gradient-Based Optimization.

Constrained Optimization - The KKT Conditions.

Adjoint-Assisted Pareto Front Tracing.

The Adjoint Method in PDE-based Shape Optimization.

Topology Optimization.

Uncertainty Quantification - Optimization under Uncertianties - Robust Design Optimization .

Multi-Disciplinary Optimization .

Hands-on exercise.

Notes in Greek.