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With a given objective deformation, the value of each unit cell's PR is optimized using evolutionary algorithm (EA).
Then in each sub-problem, it is optimized on given objectives (conflict, deviation from Estimated Time of Arrival (ETA) on the runway and makespan of the arrival flow).
If the value of objective function was no lower than the given optimized classification threshold, the process was repeated; if the value of objective function was lower than the given optimized classification threshold and no changes of any cluster was observed, the process ends.
The analysis frames are optimized for given applications and compared numerically using various criteria.
Give objectives, not tutorials.
The list of the optimized transitions is given in Table 5 for the native peptides and the internal isotope labeled standard peptides.
The example network is optimized for single objective function which is defined as cost per resilience index.
The optimized bond lengths and bond angles obtained for the studied compound using the B3LYP method with 6-311G (d, p) basis set are given in Table 4; while the atom numbering of the optimized structure is given in Figure 3.
The optimized bond lengths and bond angles obtained for the studied compound using the B3LYP method with 6 311G (d,p) basis set are given in Table 3; while the atom numbering of the optimized structure is given in Fig. 3.
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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