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A due date assignment cost is included into the objective function.
To improve the accuracy of the parameter estimates, sensitivity information has been included into the objective function by iteratively adjusting the weighting matrix with the variancecovariance matrix of the model prediction.
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The separating efficiency and the utility cost are included in the objective function.
As an additional feature (difficult to formulate in the exact model), the metaheuristic also minimizes the total number of discontinuities by including them into the objective function.
However, including this term into the objective function is not necessary.
In fact, including the cable costs into the objective function creates variable cost branches for each individual solution, thus a complex, non-convex and non-linear optimization problem is formed.
Because, including corresponding cost of cable dimensions into the objective function causes variable cost branches (edges) for each individual solution, thus creating an extremely complex and inherently intractable discrete optimization problem.
Based on this, an optimization task can be formulated and solved in which these probabilities can be included into the formulation of the objective function and the constraint conditions.
Design constraints are folded into the objective function using the penalty function method.
Note losses are not incorporated into the objective function.
A power fluctuation penalty is added into the objective function.
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