Sentence examples for by optimizing the objectives from inspiring English sources

To incorporate the multi-objectives in optimization, the framework adopts a lexicographic strategy, which determines the best choices by optimizing the objectives one by one in a user specified sequence.

The combinations of optimum operational paradigms are obtained by optimizing the objective function with ACO (ant colony optimization) and MBFA (modified bacteria foraging algorithm).

In iteration, is found by optimizing the objective function with respect to while keeping the bandwidth constraints satisfied, and fixing.

In iteration, we update by optimizing the objective function over while keeping the total power constraints satisfied, and fixing.

The liquid jet parameters are then determined by optimizing the objective function value.

By optimizing the objective functions iteratively, we develop novel data representation algorithms with feature selection and multiple kernel learning respectively.

By optimizing the objective function, the area with the highest current density, to which the voltage feeding should be applied, can be reshaped.

Hence, the fair allocation resulting from the joint quality improvement pursued by optimizing the objective function (1) in a cooperative fashion results in a smoother behavior of the video traffic.

Now applying the first four moments about origin to the scaled variable X and the first three moments about origin to the scaled variable Y, Table 2 lists the parameters estimated by optimizing the objective function using the first four moments about origin [i.e., Eq. (38)].

Joint analysis is a standard approach to deal with missing data in the context of semi-supervised learning and can be performed by iteratively estimating the parameters by maximizing the PseudoLikelihood Function (PLF) using logistic regression as a first step and estimating the unknown function by optimizing the objective function of the MRF in the second step, till convergence is met [22].

This model act as a parallel with MLR since they all take in similar inputs and estimate parameters by optimizing the same objective (10), and merely consider temperature uncertainty.