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In order to determine the optimum control factors level, three different multi-objective optimization methods i.e. grey relational analysis, fitness function and desirability function were employed.
We evaluated simultaneously the results by considering the values of both R2 and RMSE, using two objectives known as utility function and desirability function for ranking the combinations on the basis of the performances on both the datasets.
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The combination use of RSM, BBD and desirability function could provide a promising application for O-CMCS as controlled drug delivery carrier and help to develop procedures for a lab-scale microemulsion process.
This hybrid model of neural network and desirability function is used as the objective function for the optimization problem using genetic algorithm.
The slow pyrolysis process adopted for this purpose has been modelled and optimized employing central composite design and desirability function under response surface methodology taking temperature (308 592 °C) and time (35 205 min) as independent variable while yield, loss on ignition, stable organic matter, oxidisable carbon and carbon liability index as dependent variable.
The simultaneous metal extraction procedure was optimized by response surface methodology using a Doehlert design and desirability function.
Figure 3 Frequency counts and desirability function plots of fungicides.
Figure 2 Frequency counts and desirability function plots of insecticides.
First approach was based on mathematical model and desirability function.
Optimal operating parameters were determined using the S/N ratio and desirability function analysis.
Response surface methodology (RS M and desirability function were employed to optimize the extraction conditions of MSPD.
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