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We show in Section 4 a specific way of using this function to optimize viewing experience.
It is recommended to use the desirability function to optimize the operating variables with output responses.
Given an objective function to optimize by sampling between Bernoulli populations, two different models are considered.
To apply the PSO, we have to define a particle search space and an objective function to optimize.
Exergy efficiency and total investment costs were considered as the objective function to optimize the waste heat under certain conditions.
The developed quality metric can serve as an objective function to optimize the performance of a 3D content delivery system.
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Finally, and in order to reach a near-optimal composition, we use the desirability functions to optimize the four responses simultaneously.
In addition, and in order to reach near-optimal sulfonation conditions, we use the desirability functions to optimize the five responses simultaneously.
The use of weighted cost functions to optimize the ambiguity function within a subregion of the delay-Doppler space has also been explored.
Experimental runs which were based on an orthogonal array by Taguchi method have been used to derive objective functions to optimize within experimental domain.
Moreover, the developed analytical expressions are exploited to formulate the objective functions to optimize the device performance using Genetic Algorithms (GAs) approach.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com