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These methods have the advantage that they do not require any gradient information and search for an optimal solution is obtained by continuing to evaluate multiple solution vectors simultaneously.
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The proposed two-step method explores multiple plausible solution vectors for kinetic parameters that generate target features or satisfy a fitness function.
The identification of the relationship among the robustness to multiple parameter perturbation (Equation 13), the sensitivity distribution, and the parameter solution vectors could provide a basis to assume a potential mechanisms generating robustness.
In some cases, additional solution vectors were found.
This figure indicates the convergence of the variability in solution vectors with respect to the solution number.
Second, each initial population for GAs is created around one of the coarse solution vectors.
A hierarchical clustering method with the average distance is used to classify parameter solution vectors.
Handling of weight vectors outside the Pareto front: no new solutions are assigned to those weight vectors in NSGA-III, MOEA/DD, and (theta )-DEA (i.e., some weight vectors may have no solutions and some others may have multiple solutions), while each weight vector always has a single solution and continues to search for its best solution in MOEA/D.
which has multiple solutions.
Multiple solutions fostered learning.
Table 3 presents the solution vector.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com