Achieving robust design via different metamodeling techniques

The goal of robust design optimization is to improve the quality of a product or process by minimizing the deteriorating effects of variable or uncertain parameters. This robustness can be achieved by different formulations of statistical decision theory which all require many function evaluations throughout the optimization. In cases where no closed-form solutions are available and point-wise solutions are expensive to evaluate, metamodeling techniques based on design of experiments are used to replace the actual numerical analysis codes.