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We propose Mixed Integer Linear Programming (MILP) models to obtain optimum solutions under various objectives: Minimizing consumption of (I) Capacity, (II) Capacity+Power, and (III Powerr.
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Multiple hybrid electric architectures have been developed under a continuous struggle to find the best solution with respect to various objectives and constraints.
The approach accounts for various objectives.
Metabolic network reconstruction can address various objectives.
As a result, we obtained each of the optimal value for the various objective measures under various packet loss rates as summarized in Tables 2 and 3. Since it is hard to estimate the packet loss rate in the wireless network in advance and there are small deviations of the parameters obtained from various packet loss rates, we use average values of parameters for parametric shaping functions.
In this subsection, we describe various objective quality tests.
In this paper, drift-based performance objectives under various seismic hazard levels were proposed based on experimental observations.
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