Exact(6)
The computational cost of optimization method in the optimal well placement problem is substantial.
Further, the use of the FEM-based modeling saves the cost of optimization process.
These adaptive techniques achieve a tighter bound approximation while also reducing the computational cost of optimization.
In order to reduce the computational cost of optimization process, an adaptive neuro-fuzzy inference system (ANFIS) is built to predict the dam effective response instead of directly evaluating it by a time-consuming finite element analysis (FEA).
On the basis of an analysis of distribution of local thermal resistances it has been concluded that additional decrease in the thermal resistance required for cooling a CPU with a generated thermal capacity in excess of 150 W can be achieved at the cost of optimization of radiator design and (or) an increase in the intensity of its cooling.
This further reduced the time and cost of optimization, whilst also minimizing the cost of the PCR screening by also considering enzyme concentration.
Similar(54)
It can be seen from Table 7 that with the increase of ρ, compared with robust optimization, the operating cost of deterministic optimization was increasing.
Open image in new window Fig. 4 Cost comparison of optimization methods.
In the experiment two sets of measurement configurations are computed differing by the choice of variance-covariance matrix projections in the cost function of optimization.
As the cost function of optimization, the minimum of sensitivity and specificity was used under the assumption that both factors are equally important, as in the literature.
DDP compels the search method to prioritize the optimization of one of the two criteria (of relevance or antiredundancy) at the cost of the optimization of the other.
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