Sentence examples for stochastic exploration from inspiring English sources

We first return to discussing the article reporting the results of a stochastic exploration of the structures predicted using quantum mechanical procedures [11].

It first establishes the width of a search space with a diverse foundation of initial small molecules followed by the stochastic exploration of the depth of the chemical space by constructing multi-fragment molecules.

As discussed above, protein folding involves the stochastic exploration of conformational space, either by a protein alone or with the assistance of chaperones.

First, the optimal policies are stochastic, improving exploration and preventing convergence to local optima, particularly when the objective is multimodal.

Due to the need to capture the complex geometrical structure of the Stuttgart Formation, despite limited availability of exploration data, stochastic modelling techniques were employed.

Other investigators have explored more complex procedures involving stochastic dependence [ 33], while deeper explorations of random-set methods [ 34] may be valuable, but still essentially rely on independence assumptions.

The algorithm uses a model that combines both a stochastic planned pre-navigation for the exploration phase and a deterministic approach for the backward phase.

Finally, it tests the "responsiveness" to multiple performance metrics by applying a non-deterministic exploration method for the stochastic rotation of individual panels.

In particular, the population-based stochastic methods are known for their good exploration abilities and, when optimal balance between the exploration and exploitation is found, they can be reliable and efficient global optimizers.

Further exploration of the relationships between stochastic stem-cell dynamics, mutation and natural selection in other organ systems is clearly warranted.

This algorithm consists of a stochastic approach that allows to explore and analyze solutions that do not improve the objective function in order to develop a better exploration of the design region and to obtain the global optimum.