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This task is hard because the minimization deals with a multi-variable optimization of mixed integer and real type variables.
Based on the above decision variables, optimization of the hollow fiber DCMD module is carried out using the Pareto genetic algorithm.
Variables optimization for the synthesis of CNPs was performed using a CCD, a standard RSM design.
Methods of input variable selection, optimization of network internal structure, data set division and model validation are discussed.
The following settings were used for PhyML (implemented in Geneious 7.1.7): Estimated proportion of variable sites, optimization of topology/length/rate, best topology of NNI and SPR searches.
A multiple-variable dynamic optimization of fed-batch reactor for biomass production is studied using a differential geometry approach.
Using experimental design methodology, empirical models were developed that describe each response as a function of the significant variables, enabling optimization of the process.
Screening of the appropriate variables and optimization of the lipase production was performed using Plackett-Burman design (PBD) and response surface methodology (RS M.
The graphical representation of this model in the space of the variables enabled optimization of the whole desalination process time, which led to ice salinity less than the drinking water standards (0.5 g/kg).
The presented model can be a very powerful tool that could be of significant importance in the design of amine absorption processes as well as in simulations of the operating variables for optimization of gas sweetening systems.
Our suggested model is a very powerful tool that could help in the specific design of RO process as well as in simulations of the operating variables for optimization of RO system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com