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The most robust solution can be obtained by constrained min max optimization algorithms.
To deal with the problem caused by uncertainties, designers should try their best to get the most robust solution.
In particular, A-greedy*/ β-CUSUM is the most robust solution since the packet processing cost and the runtime overhead deviations are 3%and45%45 %, respectively.
The most robust solution is not the one that yields the best results in the environment assumed by the decision maker.
In [19], we used a software implementation of SIFT as feature extractor since, from the algorithmic point of view, along with SURF, it is probably the most robust solution due to its scale and rotation invariance.
According to Hallegatte [16], a long-term modelling approach should therefore look at a range of possible future outcomes, specified as scenarios, and identify the most robust solution for all outcomes.
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It will be shown that the proposed approach can identify the most robust solutions with minimum lifetime under uncertainty.
On the other hand, the cDNA-AFLP technique has become one of the most robust solutions for differential display and it has been successfully applied in several quantitative gene expression studies [ 21, 24, 40, 61, 62], even in less investigated species for which sequence information is not available.
The most robust result is therefore for the low educated.
The most robust result was for naproxen sodium 550 mg.
The studied problem, referred to as SALPB-S, consists in assigning the set of tasks to workstations so as to find the most robust line configuration (or solution) under task time variability.
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