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That decision value will give us a more general optimal solution and an optimal value to minimize the objectives.
To minimize the objectives of total generation cost considering DR compensation fees and carbon emission, lower semi linear is selected for satisfaction function.
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The goal is to find k representative objects that minimize the objective function, which is the sum of the dissimilarities of all observations to their closest medoid.
The optimization algorithm used to minimize the objective function and damage detection procedures are explained.
A simulated annealing and particle swarm optimization algorithm are separately applied to minimize the objective function.
The task of the ILRMA algorithm is to minimize the objective function ({mathcal {L}}) w.r.t.
Stochastic gradient descent (SGD) is used to minimize the objective function in all DNN experiments.
To minimize the objective function above, we should let μ 1=σ 1=σ.
An optimization method finds parameter values which minimize the objective function.
The goal is to minimize the objective subject to consensus on x.
Update the cluster centroids to minimize the objective function as shown in Eq. (2) 4.
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