Sentence examples for simulated and optimization from inspiring English sources

Current results differ slightly from those reported earlier by VanRaden [ 31] because of improvements to the haplotyping algorithm, changes to the initial LD and crossover rate simulated, and optimization of the prior parameter for the nonlinear model.

A reduced-order model of the integrated plant is used to simulate and optimize each optimization interval as a mixed integer non-linear program.

Influences of high pressure generator temperature, low pressure generator temperature, absorber outlet solution temperature as well as other system working parameters on cycle performance are numerically simulated and parametric optimization is provided in the present model.

This article concentrates on the synthesis of parallel manipulators using a combination of genetic algorithm and simulated annealing optimization methods and a configuration engine capable of generating and designing different symmetric parallel manipulator architectures for a given task.

In order to produce an optimal design of such devices, we consider a methodology combining simulated annealing optimization and lattice Boltzmann simulations.

The simulated optimization and simulated precision advance significantly.

The performance of the tabu search implementation developed was compared with established genetic algorithm and simulated annealing optimization routines.

The size of the structure is optimized using the response surface methodology, using artificial neural networks metamodels and simulated annealing optimization techniques.

Gradient descent and simulated annealing optimization techniques are successfully tested on the kinetic energy surrogate model of the device inner parts.

In this approach, the global minimum for the bound-ligand conformation is obtained by a hybrid structure refinement method involving CORCEMA calculation of intensities and simulated annealing optimization of torsion angles of the bound ligand using STD-NMR intensities as experimental constraints and the NOE R-factor as the pseudo-energy function to be minimized.

The queuing systems with a high value of C are difficult to simulate and cause serious problems in optimization such as low optimization efficiency.