Sentence examples for weighting objectives from inspiring English sources

Several methods for generating the Pareto optimal set of a multi-objective optimization problem have been proposed, such as weighting objectives, constraint approach, and goal programming (Konak et al. 2006).

Normalized weighting objective functions method is used to select the best optimal solution from Pareto optimal front.

Two methods (normalized weighting objective functions method and average fitness factor method) are combinedly used to select best optimal solution from Pareto optimal front.

We adopted the Pareto approach at resolution in order to compute a set of diversified non-dominated networks, thus removing the need for the designer to rank or weight objectives a priori.

We propose an evolutionary algorithm that aims at approximating the Pareto frontier of the problem, which removes the need for a cellular network designer to rank or weight objectives a priori.

They were informed that this was not a weight loss study but appropriate advice was given on portion size and fat intake to help them meet their body weight objectives.

In a case study, the stated problem was converted to a one-objective problem by weighting the two objectives together.

Also of interest is that the sensitivity analysis is somewhat independent of objective weighting, which potentially reduces the stakeholder burden of deciding how to weight competing objectives.

Our hypothesis is that a dynamic Nexus framework that attempts to equally weight sectoral objectives provides a new paradigm for diagnosis and investigation.

It limits the need to explicitly weight competing objectives, since it does not prescribe a set of "best" designs, but indicates where, spatially or temporally, a particular variable is more or less important to a given objective.

The similarity errors in selecting similar days are acquired by efficiently combining subjective weights, objective entropy weights, and correlation coefficients.