Sentence examples for stable optimization from inspiring English sources

Given a desired view, solving inverse kinematics allows for collision-free and stable optimization of joint configurations and turntable rotation.

The PCG algorithm is considered an efficient and stable optimization algorithm (Stefano et al. 2013), so we combine the MCMC method based on the global optimal M H algorithm with the PCG algorithm equipped with local search ability.

Numerical results show the efficiency of the algorithm to create new holes, identify stress concentrations and to provide stable optimization sequences converging to local minima defined by stress saturated designs.

To validate the usefulness of the developed approaches, we solved some benchmark topology optimization problems and found that the present method provides physically appropriate layouts with stable optimization convergence.

In addition, the RV and QSRV methods, which generate reduction bases by considering the external force, mass, and stiffness matrices of a structure, can be used as alterative model reduction schemes for stable optimization.

Regarding the optimization of W i, a fast and stable optimization algorithm called iterative projection (IP), which is based on a majorization-minimization (MM) algorithm [47], has been derived for ICA [48], Laplace IVA [49], GGD-IVA [17], and time-varying Gaussian IVA [21].

For a stable topology optimization process, the computational issues of the p-norm stress measure, the number of stress evaluation points inside an element, and the correction parameter for the approximated stress measure are addressed for STOMM.

The present paper shows how robust stable quadratic-optimal fuzzy controllers can be designed using particle swarm optimization (PSO) algorithm, a popular metaheuristic optimization technique.

This phenomenon is attributed to the reactivated process and stable SEI layer optimization [49, 50].

Then a subsequent controller design is formulated using robust stable constrained MPC optimization.

As shown in Fig. 6, rotor angle differences between generators under branch 26 27 fault tend to stable gradually after optimization.