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The objective of the optimization is to determine the set of model parameters, Θ, that optimally explains the input data, D. Θ depends on the thermodynamic model.
The objective of the optimization is to maximize the buckling load of an elastically restrained column by optimally designing the cross-sectional area subject to a minimum cross-section or maximum stress constraint.
The objective of the optimization is defined as executing the minimum number of struts.
Now, the objective of the optimization problem in (12) becomes a concave function.
The objective of the optimization is to be a linear result of the multi-objective evaluation.
The objective of the optimization model is to maximize the placement of checkpoints.
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A utility function is selected to reflect the objectives of the optimization problem.
The objectives of the optimization were to minimize the mass and to maximize the critical buckling load.
The objectives of the optimization are to minimize life cycle energy (LCE) and life cycle costs (LCC).
The objectives of the optimization problem are formulated based on a shear deformation theory including the von-Karman non-linear effect for various cases of boundary conditions.
It was the objective of the exergoeconomic optimization to determine the optimum values of these four variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com