Sentence examples for behavior of the optimization from inspiring English sources

Furthermore, in regard to the convergence behavior of the Differential Evolution algorithm, Figs. 8 and  9 show the convergence behavior of the optimization algorithm over 15 independent runs.

To demonstrate the behavior of the optimization algorithm for different geometries, we first consider simple two-dimensional spline models which represent the cross-section of an infinitely long pad.

The modelling results can provide mine operations with information on how to control key parameters that determine the solution flow behavior for the optimization of heap leach design.

The economic optimization is carried out using two approaches: a simplified method developed to explore the behavior of the economic optimization with a front and rear defense, and a numerical framework geared towards practical applications.

Additionally, a new Plan-Do-Check-Adjust cycle was established for the management of fire-fighting engineering, which includes the delineation of fire zones, the evaluation of fire behavior, the optimization of fire-fighting measures, the performance of the fire-fighting plan, and the assessment of control results to determine whether the fire-fighting plan should be reformulated or improved.

The behavior of the Ant Colony Optimization algorithm is highly dependent on the values defined for its parameters.

Unlike other techniques, this strategy considers the stochastic nonlinear behavior of the system in the optimization process of the control design.

This shows how the neural network model for this particular problem is obtained and the analysis of its behavior along the optimization process.

The designs of two high-level optimal controllers for these tasks are then described to investigate the performance and stability of resulting behaviors, based on the optimization of trajectory parameters for a closed-loop low-level Proportional-Derivative controller at the hip.

These functions control the behavior of granules, allowing the optimization technique considerable savings in terms of resources.

First, as mentioned earlier, the behavior of the GA is unknown and the optimization could become trapped in local minima when the search space is highly dimensional, multimodal, or discrete.