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Genetic algorithms were selected due to their basic capability for efficient exploration of large variable spaces.
The method combines different neighborhoods for an efficient exploration of the search space.
AIMS-OPT is also useful for efficient exploration of the global sensitivity of the objective function to the design parameters.
Bolts and anchors are efficient measures to control rockbursts and permit the efficient exploration of underground excavations in mines.
Recently, the development of systems biology has allowed for a more efficient exploration of phenotype switching and identification of essential molecular targets (Brock et al., 2015).
Further, the number of variables in the current models prohibits analytical investigation, whereas simulation does not allow efficient exploration of large parameter spaces.
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Accurate predictions of oil and gas reservoir properties are important for more efficient exploration and production of fossil energy resources.
This knowledge enables scientists to predict, for example, long-term weather and climatic changes and leads to more efficient exploration and exploitation of the Earth's resources, which in turn result in better management of the environment in general.
Hybrid models are extremely useful for reservoir characterization in petroleum engineering, which requires high-accuracy predictions for efficient exploration and management of oil and gas resources.
The computational approach, in general, enables an efficient exploration and classification of genetic interactions in other studies and systems as well.
GLay not only supplements existing clustering functions, but also provides structured and informative visualization for more efficient exploration and analysis of large biological networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com