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A fast service restoration in distribution networks is implemented, considering load shedding as a multiple objective function problem.
We first propose, using Markov Decision Processes (MDPs), an optimal controller that associates to each traffic an activation/deactivation policy that maximizes a multiple objective function of the Quality of Service (QoS) and the energy consumption.
In addition, a centralized allocation is not a trivial operation as the sensing time and the power allocation problems are both essentially multi-criteria problems where multiple objective function to maximize can be defined (e.g., the sum of the individual rewards to aim for a global optimum or the minimum individual reward to guarantee more fairness).
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The multiple objective functions are prediction accuracy, sensitivity and specificity.
This approach considers the optimization of storage systems integrated in a problem with multiple objective functions.
Since we deal with multiple objective functions, there is no best single solution in the HM.
Dimensionality: is the study optimizing a single or multiple objective functions?
The idea of planning 'share' was proposed as the measure of adjusting multiple objective functions.
Many engineering design optimization problems contain multiple objective functions all of which are desired to be minimized, say.
Since the solution algorithm of the FFP can transform multiple objective functions to equivalent constraints, it makes the FFP straightforward to deal with importance of multiple objectives.
It converted the multiple objective functions of power supply cost, environmental pollution expenses and generating cost into a single objective through the proposed algorithm.
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