Sentence examples for approximating optimal from inspiring English sources

An integrated Lagrangian relaxation and tabu search method is devised for approximating optimal problem solutions through an iterative optimization-evaluation process.

As underlined in the overview of the literature summarized here, almost all the recent, effective procedures designed for approximating optimal solutions to multi-objective combinatorial optimization problems are based on a blend of techniques, called hybrid metaheuristics.

This raises the possibility of underestimating voltages and subsequently approximating optimal controls that lead to voltage breaches according to (G(x_t,u_t)) in Sect.

Therefore, in the search space, when the search approximates optimal solution, the step size adaptively reduces.

The computational results indicate that the proposed method can obtain the approximated optimal height in short computational time.

Substituting and K as expressed in (2) and (7), respectively, we can obtain the approximated optimal contention window size which is defined as follows.

The control variables of algorithm 1 are continuous with respect to time, as such the algorithm approximates optimal control as constant for any given time step.

Assuming that the optimized layout for each tower height is the same, an iteration method is developed to obtain the approximated optimal height.

The nodal locations and cross-sectional areas of the feasible solution are next optimized to obtain an approximate optimal configuration under stress constraints.

Based on revising some modified BFGS update formulae, we construct some new quadratic approximation models to develop several approximate optimal stepsizes.

Moreover, for the nonconvex case, we also design a new approximation model to generate an approximate optimal stepsize for gradient methods.