This paper presents a comprehensive review of Uncertainty-Based Multidisciplinary Design
Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace …

This paper reviews the state-of-the-art in robust design optimization–the search for designs
and solutions which are immune with respect to production tolerances, parameter drifts …

This article presents a brief survey on some of the most relevant developments in the field of
optimization under uncertainty. In particular, the scope and the relevance of the papers …

In reliability-based robust design optimization (RBRDO) formulation, the product quality loss
function is minimized subject to probabilistic constraints. Since the quality loss function is …

It is recognized that fracture and wrinkling in sheet metal forming can be eliminated via an
appropriate drawbead design. Although deterministic multiobjective optimization algorithms …

The intent in robust design is to improve the quality of products and processes by reducing
their sensitivity to variations, thereby reducing the effects of variability without removing its …

In some engineering problems, tolerance to variation of design parameters is essential. In
an early development phase of a distributed development process for example, the system …

Ever-increasing demands of uncertainty-based design, analysis, and optimization in
aerospace vehicles motivate the development of Monte Carlo methods with wide …

In this paper, interval sequential linear programming (ISLP) is proposed to solve nonlinear
robust optimization (RO). The main idea of the programming is to transform the uncertain …

In most of the existing work, model validation is viewed as verifying the model accuracy,
measured by the agreement between computational and experimental results. Due to the …