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The subjective job scheduler with a satisfying criterion based on a backpropagation neural network (BPNN [3 5] simplifies the solution complexities in job scheduling.
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The obtained results highlight a good trade off between solution complexity and achieved performances.
Due to solution complexity, manual computation to obtain solutions may produce erroneous results.
Recall that the solution complexity is roughly proportional to the dictionary size m×n and the sparsity k.
It is shown that the suggested approach to fault diagnosis is in particular advantageous in terms of solution complexity and performance.
Thus, black-box modelling and output estimation approaches to fault diagnosis are in particular advantageous in terms of solution complexity and performance achieved.
Many engineering optimization problems frequently encounter discrete variables as well as continuous variables and the presence of nonlinear discrete variables considerably adds to the solution complexity.
The paper focuses on methodological issues concerning choice of an appropriate model abstraction level, adoption of a compositional modeling approach, and mainly, management of model solution complexity.
The cell formation problem is considered as NP-hard (nondeterministic polynomial hard) combinatorial optimization problem due to solution complexity (Bayram and Sahin 2016; Rodriguez Leon et al. 2013).
When restricted to unstructured grids that satisfy a specific causality constraint, the method has a local and asynchronous solution procedure with linear solution complexity in terms of the number of elements.
Special emphasis is given to investigations of how the temperature and solution complexity (solvent, plasma), as well as the physicochemical properties (such as size, surface charge, hydrophobicity and other surface properties), link to the hemolytic activities of these particles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com