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The methodology can handle both continuous and discrete variables.
The methodology can handle different network optimization problems of various application fields.
The methodology can handle topology as well as shape changes in both regular and irregular design regions.
Several tests performed on a benchmark model indicate that the proposed design methodology can handle both the performance/physical constraints and the strict limitations on the computational complexity.
Several tests performed using an industry validated drivetrain model and the Matlab toolbox TrueTime indicate that the proposed design methodology can handle both the performance/physical constraints and the strict limitations on the computational complexity, while effectively coping with time-varying delays.
The presented methodology can handle very general formulations, including several objectives, arbitrary network topologies and non-linear kinetics, large numbers of control variables (enzymes or activation rates), and general path and point constraints on controls and states (metabolites concentrations).
Similar(54)
Developing an appropriate methodology that can handle both types of variables, thus raises some statistical challenges.
To date, the research has reached the stage that emphasizes developing methodologies that can handle the complexity characterized by uncertainty, nonlinearity, time-varying dynamics, delays and interconnections.
A finite element methodology is described which can handle the transient response of moving structures which are themselves subject to time dependent traveling load fields.
The methodology is flexible and can handle large processes.
The proposed methodology is valid on general computational grids, can handle heterogeneous anisotropic media, and provides accurate numerical solutions even for very high Péclet numbers.
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