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Confirmation test results showed that the Taguchi method was very successful in the optimization of machining parameters for minimum surface roughness and flank wear in the milling the Hadfield steel.
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GAs has been proven to be a highly effective and efficient tool in solving complex aircraft design, and some of their successful applications in the optimization of fuel consumption models have been proposed in the literature [58, 68, 176].
In this paper we will introduce some of the main algorithmic ideas which have proven to be particularly successful in the field of global optimization applied to atomic cluster conformation problems.
The technique is based on pairwise learning to rank, which has not previously been applied to the normalization task but has proven successful in large optimization problems for information retrieval.
Also, they are show that MABC approach is successful in portfolio optimization.
These algorithms are very efficient and successful in solving complex optimization problems in which classical methods are unable to solve.
These algorithms are very efficient and successful in solving complex optimization problems which classical methods are unable to solve.
Productivity also results in the optimization of resources.
The tactics proved successful in the Canadian Wing.
Data-driven, structure-based reasoning coupled with physicochemical parameters control resulted in the successful optimization of the efficacy, pharmacokinetic, and toxicological profile of the series, culminating in the selection of AZD2716 as a clinical candidate for the treatment of coronary artery disease.
For successful convergence in NLS optimization using Equation 1, we fixed k 2r to 0.178/min (mean cerebellar k 2 value by 40-min 3P + analysis; N = 30; SD = 0.034).
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