This work presents an alternative approach to robust optimization, where the robustness of each design is assessed through multiple sampling of the stochastic variables at each design point.
A chemometric approach was applied for the optimization of the robustness of the NIRS method for wheat quality control.
The onset of instability due to spillover is prevented by the constrained optimization, and the robustness and pole assignability are improved by designing not merely a static output feedback but a dynamic compensator.
In design optimization problems, the robustness of a solution is essential to be considered when it is going to be implemented or used in real world.
On the other hand this can be positively interpreted as the ability of the system to maintain its steady state after the first phase of optimization, supporting the robustness of our measures with time.
The major difference in the image registration with and without the proposed method is the computation iterations (efficiency) as well as the possibility of finding the global minimum of the optimization (robustness), rather than the accuracy.
The optimum distribution greatly reduces the global and local thermal stress levels and the optimization scheme shows the robustness and the high convergence rate.
Numerical computations with the SWP line search and some standard optimization problems demonstrate the robustness and efficiency of the new version of the CG parameter in comparison with the latest and classical CG formulas.
The incorporation of the prior information of orientation detection into general medical image registration [ 30] also reduces the search space of optimization and enhances the robustness of the registration calculation.
Since the goal of preregistration by the proposed method is to reduce the search space of the iteration optimization and increase the robustness of the process of the registration.
