A general framework for multi-criteria optimal design is presented which is well suited for performancebased design of structural systems operating in an uncertain dynamic environment. A decision theoretic approach is used which is based on aggregation of preference functions for the multiple, possibly con#icting, design criteria. This allows the designer to trade o! these criteria in a control...

In this paper the problem of parameter identification for the Monod model is considered. As known for a long time, noisy batch measurements do not allow unique and accurate estimation of the kinetic parameters of the Monod model. Techniques of optimal experiment design are, therefore, addressed to design informative experiments and improve the parameter estimation accuracy. During the design pr...

This article demonstrates how a three-parameter logarithmic transformation combined with an exponentially weighted moving average (EWMA) approach can be used to monitor the sample variance of a process. The computation of the parameters of the logarithmic transformation and the control limits are explained. An easy-to-use table is provided and an illustrative example is given. The performance o...

In this work, the effects of temperature, acid concentration, and mechanical activation on dissolution of ilmenite were studied using the statistical design of experiment technique. Mechanical activation was carried out using a planetary ball mill in dry mode, and the resulting structural changes were characterized by the particle size analysis, specific surface area measurements, and X-ray dif...

barrel vaults are attractive space structures that cover large area without intermediate supports. in this paper, the charged search system (css) optimization algorithm is employed for optimal design of barrel vaults. this method utilizes the governing laws of coulomb and gauss from electrostatics and the newtonian law of mechanics. the results demonstrate the efficiency of the discrete css alg...

We propose and develop a genetic algorithm (GA) for generating D-optimal designs where the experimental region is an irregularly shaped polyhedral region. Our approach does not require selection of points from a user-defined candidate set of mixtures and allows movement through a continuous region that includes highly constrained mixture regions. This approach is useful in situations where extr...