Sentence examples for evolutionary capabilities from inspiring English sources
We illustrate the method by applying it to a commercial software product, and show how the results can help assess the evolutionary capabilities of its architecture.
Classical architecture recovery features, such as filtering and details on demand, are enhanced with evolutionary capabilities when multi-version information about a subject system is available.
Forty years' experience as a bacterial geneticist has taught me that bacteria possess many cognitive, computational and evolutionary capabilities unimaginable in the first six decades of the twentieth century.
However, we are just coming to appreciate the evolutionary capabilities of the microorganism and the complexity of transmission pathways, an understanding of which is essential to ultimate control of the disease.
These ancestral bilaterians had the evolutionary capability to cope with the consequences of becoming larger and lowering their surface-to-volume ratio (p. 310) even though larger animals must have ways of conveying oxygen and food to all their cells, removing these cells' wastes, integrating sensory impressions, and coordinating appropriate responses.
As suggested by G.C. Williams [ 27], the main advantage provided by sexual reproduction could consist in a substantial reduction in the evolutionary capability of sexual species.
The experimental results showed that this self-organizing model has long-term evolutionary learning capability that allows it to learn in a continuous manner, and that the function of the system changes as its structure is altered.
The approach uses the evolutionary parallel search capabilities of genetic algorithms to design the pattern layout of the lamps (luminaires), their mounting heights and their wattages.
Transcription factors: We gathered 1391 TFs from Vaquerizas et al. [ 26], manually curated from a combined assessment of DNA-binding capabilities, evolutionary conservation and integration of multiple sources.
Multi-objective evolutionary algorithms have capability to optimize multiple objectives simultaneously and obtain a set of trade-off solutions.
They integrate both the management of imprecision/uncertainty and inherent interpretability of Fuzzy Rule Based Systems, with the learning and adaptation capabilities of evolutionary optimization.
