Process optimization determines process parameters that maximize or minimize (optimize) so aspect of a process (the obieciive function), while ensuring that the process operates wr established limits. In this work a mathematical model that simulates heat flow and solidification continuously cast steel strand is coupled with mathematical optimization techniques to predict opt process parameters ...

Some individuals die before a trait is measured or expressed (the invisible fraction), and some relevant traits are not measured in any individual (missing traits). This paper discusses how these concepts can be cast in terms of missing data problems from statistics. Using missing data theory, I show formally the conditions under which a valid evolutionary inference is possible when the invisib...

Modern operating systems are highly parameterized, allowing system administrators to tune them in order to achieve optimal performance for the local workload. However, this is a diicult and time consuming process. We propose a mechanism to automate this process, by running simulations of system performance for various parameter values instead of the system's idle loop. The simulations are drive...

is in the operating theatre Editor—In their article about the applicability of pulse pressure variation (PPV), Mahjoub and colleagues concluded that ‘a very low percentage of patients satisfied all criteria for valid use of PPV’. Importantly, the study was done in intensive care unit (ICU) patients. As a result, and not surprisingly, 49% were not mechanically ventilated, 25% were mechanically v...

Recent studies have shown that the variable sampling interval (VSI) scheme helps practitioners detect process shifts more quickly than the classical scheme (FRS). In this paper, the economically and statistically optimal design of the VSI T2 control chart for monitoring the process mean vector is investigated. The cost model proposed by Lorenzen and Vance (1986) is minimized through a genetic a...