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Normalized weighting objective functions method is used to select the best optimal solution from Pareto optimal front.
Two methods (normalized weighting objective functions method and average fitness factor method) are combinedly used to select best optimal solution from Pareto optimal front.
The weights file created listing the energy bin center in keV in the first column and normalized weighting in the second column.
This new design criterion is then applied to various test systems using the Monte Carlo method to determine the optimal range of values of this normalized weighting factor in tuning for step input responses.
The multi-objectives are made as single objective by fastening them with normalized weighting factors.
On the basis of the assignment and normalized weighting of the individual features of the thematic layers, a potential groundwater index map was produced (Fig. 13).
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The sample sizes reported in this manuscript were derived from normalized weights, weighted to represent a larger population.
The normalized weight vector is obtained by normalization W={left(dleft {A}_1right),dotst({A}_2right),dots dots.,dleft {A}_nright) right)}^{mathrm{T}} (11).
Then we designed a weighted BNI model by adding the normalized weights into a conventional BNI model.
The Jamaican data were weighted by age, sex, school type, and parish to provide normalized weights using data from STATIN.
As mentioned, normalized weights were used in the analysis so statistical tests were performed with a normalized-weighted sample of N = 1214.
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