The objective of robust design is to optimise the mean and minimize the variability that
results from uncertainty represented by noise factors. The various objective functions and …

This is the second of a two-part paper summarizing and reviewing research in mechanical
engineering design theory and methodology. Part I included 1) descriptive models; 2) …

This paper describes a general, rigorous approach for robust optimal design. The method
allows a designer to explicitly consider and control, as an integrated part of the optimization …

Optimization techniques have been applied to versatile engineering problems for reducing
manufacturing cost and for automatic design. The deterministic approaches of optimization …

This paper develops a flexible Physical Programming (PP) based Robust Design
Optimization (RDO) method. RDO yields a system that performs with minimal variability in …

A probabilistic model and methods to determine the means and variances of the velocity and
acceleration within stochastically-defined planar pin jointed kinematic chains are presented …

Optimal structural design is considered under the presence of variation in loading, geometry
and material properties. A Monte Carlo simulation is embedded in a genetic optimization …

We present a deterministic non-gradient based approach that uses robustness measures in
multi-objective optimization problems where uncontrollable parameter variations cause …

Real-world multi-objective engineering design optimization problems often have parameters
with uncontrollable variations. The aim of solving such problems is to obtain solutions that in …

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 …