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Therefore, the direct linear transformation (DLT) [29] is proposed to achieve a closer solution to the ideal Q.
And using a larger mutation rate could get a closer solution compared with the Pareto optimal solutions, although it increases the converged generation.
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Fig. 4 Closed solution versus exact.
And the radius is the distance between the center and another closest solution.
Let (v_{k}in C^) be the closest solution to (x_{k}).
Also, Eq. (16) explains that RAS result is closest solution from the original matrix.
where d i is the Euclidean distance between solutions i and the closest solution to it in the Pareto sets of solutions.
Local methods are designed to converge to the closest solution to the initial guess.
However, the closest solution found is distance 0.04 from the optimal solution in (scaled) parameter space, and has error 0.61 (results are shown in Supplementary Section 7).
The close solution to Equation (3) is (4) m ˜ = 1 − α I − α M ― − 1 m Similarly, graph Laplacian scores can be derived to measure the relevance between the phenotypes and the target phenotype p with the close solution (5) p ˜ = 1 − β I − β P − − 1 p where P ¯ is the normalized P and parameter β ∈ (0, 1).
Consequently, we use the indicator ED to observe the closest solutions to the ideal solution.
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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