Sentence examples for optimizations and it is from inspiring English sources

The results are compared to reagent-based diversity optimizations, and it is shown that a product-based diversity protocol can result in significant improvements over a reagent-based scheme based on the diversity obtained for the resulting libraries.

The algorithm does not require nonlinear optimization and it is numerically robust.

This particular process is termed as work area optimization and it is a sub-domain of workforce optimization.

A rationalized design is the output of a possibly very complicated nonlinear optimization, and it is very hard to make changes to such a highly constrained geometric model.

Compared to the LOO method, 5-fold cross-validation method or the independent test method requires much less time for the SVM model optimization and it is impossible to do a LOO cross-validation for a very large data set.

In other words, in IACO, the leading ants affect the global optimization and it is very prone to local minima.

Figure 3 c shows the results of this optimization and it is clear that region detection Ψ R can extract more robust features for improving the performance.

However, there is much room left to exploit diverse social interactive relationships among agents for networking optimization, and it is of great interest to explore the continuum space [11 13].

However, maximizing the system utility, under the physical interference model, often involves nonconvex optimization and it is known to be NP-hard, due to the complicated coupling among users through mutual interference effects[5].

It can be seen from the real-time adjustments shown in Figs. 8, 9 and 10 that the power needing to be adjusted is largest when using the deterministic optimization scheme, followed by the stochastic optimization model, and it is smallest when using the fuzzy stochastic optimization model.

It is usually difficult to obtain the global optimal solution of the two-layer optimization problem, and it is considered that the optimal solution is obtained by the iterative approximation of the numerical solution and satisfying certain convergence conditions.