First, we need robust and efficient methods for optimization under uncertainty, and for the optimization of stochastic models, that are also able to scale-up, hopefully even at the level of genome-scale models.
For the optimization model, a congestion weight of 10 is used unless otherwise specified (see Additional file 1 section 1).
This skin model was described before for the optimization of tattooing of naked DNA in skin (25).
It provides a number of parameters and kernels for the proper optimization of model training.
Chen offered models for the optimization of absorption refrigerators, heat pumps, and cooling machines [6, 7].
APAP was engaged as model drug for the optimization of these experimental conditions suitable for formulation of small molecules.
The results of the regression models estimated to identify the optimal Minkowski coefficients are summarized in Figure 2. Figure 2a summarizes the regressions for the road distance coefficient optimization, and Figure 2b for the optimization of the travel time coefficient.
Response surface methodology (RSM), which includes experimental design, model fitting, validation and condition optimization, has eliminated the drawbacks of single-factor experimental design and been proved to be powerful and useful for the optimization of ATPS [14], [15].
In order to save computation time, the 2D model is used for the optimization of SPMCs.
The performance of our approach was illustrated by simulations of the parameter optimization for two models of linear and non-linear equations, which included unmeasured molecules, by two types of optimization techniques.
