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where η k is the kth zero of the Hermite polynomial H K of degree K, ω k is the corresponding weight of the function f at the kth abscissa, and R K is the remainder value.
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The weight of the prediction function is initialized by the mutation operation and then the evolution process begins.
The average edge weight of the winning function is used as a confidence value.
Methods in the third category (EEP-based) use experimental energy data to calibrate the weights of the energy function terms.
Here, α j q (j = 1, 2, …, M; q = 1, 2, …, ∞) represents the relative weight of the jth objective function.
Simulations allowed to compute the optimal regimen and explore its dependence on the weights of the target function.
Moreover, the economic and environmental benefits under different weights of the objective function were evaluated by sensitivity analysis.
However, its main shortcoming lies in the difficulty of appropriately setting and tuning the parameters and weights of the utility function.
Standard parameters were used for weights of the scoring function and the number of intermediate solutions for each fragment.
It is important to note that only the weights of the output function i.e. Wout will be mapped onto the desired output.
For a given density, biomass (oven dry weight) is the function of volume.
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