Multidisciplinary design optimization is a field of research that studies the application of
numerical optimization techniques to the design of engineering systems involving multiple …

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 …

While numerous architectures exist for solving multidisciplinary design optimization (MDO)
problems, there is currently no standard way of describing these architectures. In particular …

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in
engineering design has increased dramatically. In particular, the advent of modern …

This paper presents an adjoint method for sensitivity analysis that is used in an aero-
structural aircraft design framework. The aero-structural analysis uses high-fidelity models of …

Optimal design of launch vehicles is a complex problem which requires the use of specific
techniques called Multidisciplinary Design Optimization (MDO) methods. MDO …

A comparison of algorithms for multidisciplinary design optimization (MDO) is performed with
the aid of a new software framework. This framework, pyMDO, was developed in Python and …

This paper focuses on a distributed convex optimization problem with set constraints, where
the local objective functions are convex but not necessarily differentiable. We employ an …

OPTIMIZATION of complex engineering systems is an integral part of design. Originally,
those that created aerospace vehicles were responsible for every aspect, from wing shape …

This paper describes the current status of research on collaborative optimization, a strategy
for distributed design, and its application to large-scale aerospace systems. This approach …