Sentence examples for optimization the expected from inspiring English sources

Exact(2)

The initial availability of upper divertor cooling water system was 93.63%, after optimization the expected availability was 98.56% over 11,520 h.

The initial availability of RXC system was 92.93%, while after optimization the expected availability was 95.23% over 11,520 h (approx. 16 months) which corresponds to ITER typical operation cycle.

Similar(58)

Robust optimization maximizes the expected NPV over an ensemble of permeability fields to overcome this shortcoming of certainty equivalence optimization.

In other deterministic optimization approaches, the expected values are used, which most likely leads to violations of the constraints when the decision variables are implemented on site.

In each M-step, we update the ECM exchangeability parameters using a spectral approximation method (Arvestad and Bruno, 1997) and the branch lengths by numerical optimization of the expected log-likelihood function (Siepel and Haussler, 2004).

It is known that a training set containing redundant members biases the learning process [ 18, 19], especially when the learning involves an optimization procedure, as is the case for ApicoAP for which the optimization criterion is the expected performance of the candidate classifiers.

The proposed optimization method minimizes the expected amount of rework while maintaining the project completion contract date and provides an effective means to decide on the overlapping strategy.

The actions of the external devices are simulated by external forces at moving contact points, which are all determined by the optimization, simultaneously with the expected movements and joint torques of the patients.

Then a novel global optimization algorithm, combing the expected hypervolume improvement of approximated Pareto front and the probability of feasibility of new points, is proposed to identify the Pareto front (set) with a minimal number of expensive simulations.

According to Fig. 1, fuzzy stochastic optimization models include the expected value model, the opportunistic constraint planning model and the related opportunistic constraint planning model [13].

The MMSE equalizer also takes into account the noise statistics and performs an overall optimization by minimizing the expected value of the squared error, E{||x−W MMSE-TD y||2}.

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