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Therefore, to obtain the guard bands for the optimal performance, we formulate the optimization problem to minimize the blocking probabilities, which is equivalent to maximizing the accepted calls.
It is found that for the optimal performance of the system that simultaneously optimizes TAC and efficiency, all the collector design parameters, except for the number of tubes, can be selected at lower magnitudes when the nanoparticle additive is introduced into the working fluid.
Since Tween 20, a detergent also used by Kool et al. in their coumestrol-based HRS ERα assay [ 2], can improve the resolution of the assay in HRS mode, and since organic modifiers are necessary for the optimal performance of the gradient HPLC system, the next step in the optimization process was to vary these parameters.
In this case, the threshold value for the optimal performance is 4%.
Therefore, the capacity across unit cut drops, and there exists for the optimal performance under partial interference.
In this paper, genetic algorithm is proposed to find the set of parameter values for the optimal performance of the ensemble classifiers.
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Simulation-optimization models are valuable tools for determining the optimal performance of systems.
However, contrarily to classical solutions that are not LRA, the necessary size for achieving the optimal performance is smaller.
Properly designing an artificial neural network is very important for achieving the optimal performance.
Note that the parameters M, N, W, L need to be computed for assessing the optimal performance.
Different parameters of NARNN and their stability were also analyzed in order to select the most appropriate configuration for obtaining the optimal performance.
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