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Evolutionary programming is a kind of evolutionary computing method based on stochastic search suitable for solving system optimization.
To simulate microstructure evolution process during actual casting solidification more effectively, a high performance computing method based on CUDA + GPU architecture is explored in this paper, and larger-scale computation is implemented by the concurrent execution of multiple threads to improve computational efficiency.
For evaluating the fire-resistance stability of steel columns exposed to a red-heat furnace charge in safety pit in a nonferrous metal factory workshop, the temperature distribution of steel columns within the height of 10m is calculated by a hierarchy computing method based on heat radiation theories and heat transfer between the flange plate and the web plate.
To address this shortcoming, in [76], a stagger computing method based on the measurement result of the contact force was derived.
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Genetic programming (GP) is one of the evaluation computing methods based on the survival and reproduction principle (Koza 1992).
The multidimensional characteristics of flow, species and current distributions are computed by method based on volume-control finite-discrete technique.
This article presents a novel computing modeling method based on a variational principle.
Fold changes were computed following a method based on the relative difference between groups (Livak and Schmittgen, 2001).
The inverse Laplace transforms are computed numerically using a method based on Fourier expansion techniques.
The solution of its direct kinematic is computed with a numerical method based on the Newton Raphson formulation and a constraint function of the mechanism.
A similar phenomenon is observed for boundary vorticity computed using a primitive method based on the staggered marker-and-cell grid.
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