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Desirability method can be applied to optimize this nonlinear multiobjective problem.
Moreover, the response surface methodology and desirability method were applied, in order to obtain the optimal loading path within the given optimization criteria.
In this work, the electrode thickness was reduced from 3.4 to 2.4 cm and the process was optimized using factorial experimental design and the Derringer desirability method to obtain current density (i), acid concentration (Cac), and pulsed bed time (tp) values that maximized CE and Y and minimized EC.
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Applying desirability function method, an optimal drying condition was found.
This simultaneous optimization approach was compared with the desirability function method.
A desirability function method identified the optimised blend as containing 3% inulin, 0.9 1% pectin and 0.3 0.4% guar.
Applying a desirability function method, the optimum parameters were: extraction temperature 80 °C, extraction time 4 h, water:seed ratio 30:1.
As a result, a computer-aided desirability tuning method is proposed to find an optimal portfolio with time series of returns and risks modeled by ARMA GARCH models.
Applying a desirability function method the optimum parameters were: extraction temperature 35 °C, pH 10, water to seed ratio of 30:1 and an extraction time of 15 min.
Applying desirability function method, optimum operating conditions were found to be temperature of 22 °C, sucrose concentration of 54.5%, salt concentration of 14% and treatment time of 329 min.
Then, GDL pressure distributions with different dimensional errors are obtained respectively based on the Monte Carlo simulation, and the desirability function method is employed to evaluate them.
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