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real-coded genetic algorithm, simulated annealing, and a modified Tabu search based on novel Mahalanobis multivariate distance approach to identify Tabu moves, are employed to determining near optimal path conditions for an industrial case study of two-stage CNC grinding (honing) optimization problem, having various process and variable constraints.
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Two approaches were employed to determine the velocity of sound in solids.
Various tests are then employed to determine if the model is satisfactory.
FVM employed to determine the stress and strain parameters.
Quartiles were employed to determine the CR normative scoring levels.
The parameter GSI is employed to determine gonadal maturity.
PIXE was employed to determine the Cu-implanted content.
PIXE was employed to determine the Fe-implanted content.
User-selected scores are employed to determine the cluster centers and to save top-ranking ligands.
These are employed to determine whether the predictors or factors are significantly related to the response.
All available data were employed to determine the reservoir temperature and geothermal gradient.
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