Active Manifold and Model Order Reduction to Accelerate Multidisciplinary Analysis and Optimization

The solution is obtained by collecting snapshots of the increments. In gradient-based procedures, there is currently no equivalent for cases like ego where gradient-based optimization is not used, but efforts are being made to develop one. By analyzing snapshots of parameter corrections during iterative design, the green region can be identified by fitting it into a nonlinear approximation based on discovered features, as shown in the next slide. When dealing with multiple objective functions and solving a multiobjective MDAO problem using an ε constraint method, one instance from the Pareto front can be selected as a sacrificial lamb.