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This section illustrates the optimal solution to the optimization problem (3).
The optimal solution to the optimization problem (14) is characterized in the following theorem.
Each particle represents a potential solution to the optimization problem and it has a fitness value decided by optimal function.
Improvements are suggested to the optimization strategy in the model.
The λ i add extra unknowns to the optimization problem.
The formulation is connected to the optimization of lifting steps.
An experimental design is applied to the optimization of SFE.
This can be attributed to the optimization of hydration products and densification of microstructure.
The adjoint state provides an easy access to the optimization gradients.
The results obtained are discussed with regard to the optimization of an HCA deposition device.
This is achieved by introducing additional nonlinear constraints to the optimization problem.
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