Sentence examples for adopted to optimize the from inspiring English sources

An optimization study adopted to optimize the operating parameters, such as temperature and fuel composition using a differential evolution algorithm.

Particle swarm optimization is adopted to optimize the parameter settings through the well-trained BP model, where each particle is assessed using fitness function.

Both dual- and triple-objective optimizations were adopted to optimize the shape of the inlet/outlet diffusion segment, the response surface methodology (RSM) was used to generate approximate functions relating to the objectives and design parameters, and the non-dominated sorting genetic algorithm (NSGA-II) was selected to conduct the optimizations.

Bothe single objective and multi-objective optimization are adopted to optimize the configurations of multi rows film cooling holes, and the Multi-Island Genetic Algorithm and The response surface approximation with the Non-dominated Sorting Genetic Algorithm (NSGA-II) are selected to conduct the optimizations.

Several different multiobjective optimization schemes were adopted to optimize the coated bead size and volume fraction, which reveal that the optimal design parameters of particle diameter and volume fraction are 100 μm – 35% and 38 μm – 17.5% for the cortical and cancellous bones respectively, agreeing with clinical data.

The model of DFIG for small signal stability analysis was presented in [3] and the particle swarm optimization (PSO) method was adopted to optimize the controller parameters.

The particle swarm optimization (PSO) [11, 12] and mixed integer PSO [13] techniques are adopted to optimize the wind farm layout in terms of optimal placement allocation of WTs.

Meanwhile, the optimization algorithms inclusive of genetic, grid and quadratic are adopted to optimize the important parameters of C-SVC and υ-SVC, such as C, υ and γ, so as to improve the classification performance and generalization ability of the predictive model of support vector machine.

Sequential optimization strategy using Plackett Burman screening and response surface methodology was adopted to optimize the submerged fermentation process.

Secondly, considering nonlinear characteristic of the vehicle model and the efficiency of regenerative braking system, the particle swarm optimization algorithm within the modified nonlinear model predictive control is adopted to optimize the torque distribution between regenerative braking system and pneumatic braking system at the wheels.

At the second step, a naive Bayesian classifier (Elkan 1997) was adopted to optimize performance of the selected genetic markers.