Computation-intensive design problems are becoming increasingly common in
manufacturing industries. The computation burden is often caused by expensive analysis …

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 …

The use of statistical techniques to build approximations of expensive computer analysis
codes pervades much of today's engineering design. These statistical approximations, or …

Computer simulations based on mathematical models have become ubiquitous across the
engineering disciplines and throughout the physical sciences. Successful use of a …

Probabilistic design, such as reliability-based design and robust design, offers tools for
making reliable decisions with the consideration of uncertainty associated with design …

Optimization for structural crashworthiness and energy absorption has become an important
topic of research attributable to its proven benefits to public safety and social economy. This …

In this paper we focus on scale-based product families derived from scalable product
platforms that can be exploited from both a functional and a manufacturing standpoint to …

A variety of metamodeling techniques have been developed in the past decade to reduce
the computational expense of computer-based analysis and simulation codes …

The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical
machines. However, from the mathematical point of view, these problems belong to the most …

This paper addresses the difficulty of the previously developed Adaptive Response Surface
Method (ARSM) for high-dimensional design problems. ARSM was developed to search for …