Sentence examples for minimize a global from inspiring English sources

This raises the problem of quantizer design optimized for distributed estimation systems where the goal is to design independently operating quantizers that minimize a global metric such as the estimation error (a function of all sensor readings).

EC methods use "populations" of candidate solutions that are recombined, mutated and reproduce using a form of trial and error that attempts to optimally maximize (or minimize) a global fitness (or cost) function.

In this paper we tackle the route bundling problem which consists of compounding multiple routes in a way that intermediate points minimize a global distance metric of multiple origin destinations pairs.

The pressure drop and heat transfer characteristics are examined, and an optimization is carried out to minimize a global objective function consisting of the correlation between the Nusselt number and the friction factor.

Route bundling implies compounding multiple routes in a way that anchoring points at intermediate locations minimize a global distance metric to obtain a tree-like structure where the roots of the tree (anchoring points) serve as coordinating locus for the joint transport of information, goods and people.

The empirical parameter was evaluated by minimizing a global objective function.

Anisotropy is used to estimate W P, H P, W H and H H by minimizing a global objective function that depends on a β-divergence cost, a percussive cost and a harmonic cost.

On the other hand, existing algorithms for edge bundling have a different scope: network bundles aim at rendering aesthetically pleasing and topologically compact drawings; yet, the existing algorithms do not necessarily aim at minimizing a global distance metric.

By observing these figures, it is possible to confirm the following facts: Regardless of the configuration of the polygonal maps and the structure of bipartite graphs, it is possible to converge to the bundled routes minimizing a global distance metric within 1000 function evaluations and 15 independent runs.

The sink's gradient is set to 0, and the others' gradients are assigned to minimize a certain global objective function.

During optimisation, one tries to minimize or maximize a global characteristic of a process such as cost and time by exploiting the degrees of freedom under a set of constraints [33].