Sentence examples for model optimization problem from inspiring English sources

Unlike them, we formalize and resolve this issue as a feature model optimization problem.

In this section, we will model optimization problem of the system described in the previous section as an integer quadratic programming (IQP).

Since several algorithms have been proposed for dealing with the feature model optimization problem, a comparative evaluation of our current algorithm against other alternatives is needed in order to compare their efficiency and optimality.

The configuration selection or feature model optimization problem (Benavides et al. 2010) takes a partial configuration of an attributed feature model and an objective function as inputs and returns the full configuration fulfilling the criteria established by the function.

Therefore, the problem can be modeled as a simulation optimization problem, where the objective function cannot be evaluated exactly.

The same has occurred with stochastic programming, which is a framework for modeling optimization problems involving uncertainty.

Because this thresholding does not guarantee a functioning model, an optimization problem is formed to minimize the number of "off" reactions that must carry flux when the model produces a minimum objective flux.

Thus, if we solve the model based optimization problem using the estimated, non-exact parameters, an inevitable loss of optimality is faced.

We can model this optimization problem mathematically.

In the standard C-SVM model, the optimization problem is transformed into a duality problem.

The system model and optimization problem description are given in Section 2.