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Optimization problems involving multiple criteria are commonly found in a nuclear reactor design.
Two possibilistic portfolio optimization models by using multiple criteria are first presented for the basic multi-period portfolio selection problem.
Multiple criteria are identified to assess and map the roof stacking potential in terms of location and number of added floors.
First, we show that multiple criteria are used to assign an INES rating, which could lead to an insufficient differentiation between events.
These Pareto bounds provide key information for understanding the network behavior and the performance trade-offs when multiple criteria are relevant.
When multiple criteria are adopted to determine cost vectors, a multi-criteria inverse optimal value problem arises, which is more general than the standard case.
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(3) A unified workflow for the ranking of multiple candidate screening libraries based on multiple criteria is unavailable.
Finally, the composition of objective functions capturing multiple criteria is also investigated for the one-shot jump task.
A substantial computational improvement that conducts a more focused search when the experimenter has a focused a priori preference for the prioritizations of the multiple criteria is described.
Accordingly, selecting the most beneficial functional principles, processes and materials within a given product structure, if any, and based on multiple criteria is a highly complex process.
An irreversible regenerative Brayton cycle model considering internal and external irreversibilities is developed in matrix laboratory (MATLAB) simulink environment and thermodynamic optimization based on finite time thermodynamic analysis along with multiple criteria is implemented.
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