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Sensitivity numbers are derived according to the variation of the objective function with respect to the design variables.
Since the decision making model is involved with the important parameter α, it is useful to investigate variation of the objective function values with the change in α.
Constituent phases are divided into groups and sensitivity analyses are performed in order to estimate their effects on the variation of the objective function.
To make the memetic algorithm faster, we estimate the variation of the objective function based on POF in the local search as part of an operator in memetic algorithms.
A variation of the objective function (1) is the following: (2) The term w B f B was added to Equation (1).
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The intra-examiner coefficients of variation for the objective analysis of upper/lower meibomian gland area in normal controls and in patients with MGD were 0.59±0.26%/0.40±0.20%and0.47±0.45%/0.44±0.31%1%, respectively.
Therefore, using a reduced order framework to express the variations of the objective parameter may facilitate the simulation task and also the interpretation of computational results.
Further, the flow dynamics and heat transfer characteristics of some representative Pareto-optimal solutions of the best Pareto-optimal front were used to analyze the variations of the objective functions with the design variables.
The proposed approach provides information about variation of the optimal objective and optimal design configuration over the entire uncertain space.
The authors also presented a second definition where the uncertainty is modeled into the constraints which restrict the variation of the original objective functions to their means.
The function approximated by the learning machine after training has been calculated using the calculus of variations, with the objective of finding the function that minimises the formulated Cross-Entropy error.
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CEO of Professional Science Editing for Scientists @ prosciediting.com