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Statistical approaches for the optimization of parameters for biotechnological production of xylitol
(2012-01-01)
Statistics is a fundamental tool in the analysis of any process data where there is variability. There are many ways to approach the problem of optimization and design of a process, which can be handled quickly using a ...
Optimization of some parameters influencing Thermoascus aurantiacus growth: Effects of lignin-related compounds
(Stockton PressBasingstokeInglaterra, 1996)
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2002-01)
Optimum design of experiments for statistical inference
(Wiley-Blackwell, 2012-01-01)
. One attractive feature of optimum design criteria, such as D- and A-optimality, is that they are directly related to statistically interpretable properties of the designs that are obtained, such as minimizing the volume ...
Yield-driven electromagnetic optimization via space mapping-based neuromodels
(Int. J. RF and Microwave CAE, 2013)
Statistical analysis of a multi-objective optimization algorithm based on a model of particles with vorticity behavior
In this paper, a strategy for multi-objective optimization based upon the behavior of a particle swarm with rotational and linear motion is presented. The strategy for multi-objective optimization is based upon the emulation ...