Sentence examples for broad class of optimization from inspiring English sources

We have developed a common approach for solving the broad class of optimization problems with normally distributed uncertain parameters.

Evolutionary algorithms (EAs) refer to a broad class of optimization algorithms, which take some inspiration from evolutionary systems in the natural world.

It is necessary to emphasize that the proposed method is very general and can be applicable to a very broad class of optimization problems.

No particular preferences are given to any version of genetic algorithms, but rather lessons learnt up-to-date are effectively combined to show the power of the genetic algorithm in effective search for the desired solution over a broad class of optimization problems discussed herein.

More specifically, we consider a broad class of optimization algorithms that sample a set of feasible system designs in each iteration, conduct simulations at the sampled designs in an effort to estimate the performance of these designs, and then use the simulation results to decide on what designs should be sampled in the next iteration and on the current estimate of the optimal system design.

The worst-load-direction oriented framework can be applied to a broad class of engineering optimization problems.

This fundamental result is then applied to a broad class of stochastic optimization problems, in brief any problem statement where the agent (a) operates over an infinite or indefinite time horizon, and (b) has available only probabilistic information about the system's state.

This implies that a broad class of constrained finite horizon robust and optimal control problems, where the optimization is over affine state feedback policies, can be solved in a computationally efficient fashion using convex optimization methods.

In recent years, a broad class of meta-heuristics algorithms has been developed for tolerance optimization.

Optimization of single-cycle and repeated fed-batch operations of a broad class of fermentations described by three key rate processes is considered within the framework of optimal control theory.

The latest progress based on [111]: A broad class of machine learning and SP problems can be formally stated as optimization problem.