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Further testing on random instances shows that the heuristically designed networks achieve significant risk reduction over single-level models.
Today's performers are clearly younger, the intellectual riffs on seemingly old-fashioned acts are green-apple fresh and, in some instances, shows are longer, deeper and more thoughtful.
The electrocardiogram in most instances shows distinct and characteristic abnormalities at the onset, but the electrocardiographic abnormalities may be less characteristic or totally absent.
The runtime analysis of these heuristic algorithms on two 2-SAT instances shows that the expected runtime of these heuristic algorithms can be exponential time or polynomial time.
Empirical evidence over a variety of instances shows that the improved method is well suited for finding optimal Pareto fronts with no more computational effort than the traditional method.
Our extensive experimentation with both real and random instances shows that the proposed procedure competes with the best-known algorithms in terms of solution quality, and has reasonable computing-time requirements.
Similar(52)
Experimental results on both real-life and randomly-generated instances show the advantages of these ingredients.
Experiments on standard bin-packing instances show our approach is superior to prior approaches.
Computational experiments on a variety of test instances show that the algorithm is competent to solve the 2DVPP-GC.
The results of extensive experiments on real-world instances show that the proposed heuristic produces high-quality solutions.
Computational experiments with real-data-based instances show that our VNS obtains better results than previous methods for this problem.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com