Sentence examples for capabilities to evolve from inspiring English sources

"The security business required significant investment in its capabilities to evolve and better serve the security industry," Charlene Begley, the president of G.E. Enterprise Solutions, said in a statement.

Illustrative results of the model's capability to evolve both monodisperse and binary distributions of charged particles of various shapes and charge characteristics are presented.

Results indicate that for the team sizes tested, CONE yields a higher collective behavior task performance (comparative to related methods) as a consequence of its capability to evolve specialized behaviors.

Evolutionary algorithms have been recognized to be well suited for multi-objective optimization because of their capability to evolve a set of nondominated solutions distributed along the Pareto front.

ADELE (Agent Dynamic EvoLutionary at runtime) is a middleware that allows developers to create reactive agents with the capability to evolve through the injection of external behaviors at runtime.

This reflects the species capability to evolve trophic polymorphism and possible genetic differentiations within drainages [ 126] and lakes [ 107, 127, 128].

This property is also controlled by the type of kernel selected for training and classification purpose, as linear kernel applies linear boundary, Gaussian kernel applies normal distribution boundary while polynomial kernel has capability to evolve convolute boundary to handle the cases where instances from different classes are very mixed up for the given set of features.

The public health system faces many challenges as newborn screening capabilities continue to evolve.

Due to the rapid computational improvements, the analysis capabilities have had to evolve rather significantly over the last decade.

"We have now got the technology, pioneering engineering capability and design expertise to evolve the Defender".

This paper proposes and describes in detail an evolved behaviour based controller that combines the good response time of behaviour based systems and search capability of evolutionary algorithms to evolve competitive driving skills for a real time car racing game.