Sentence examples for optimization area from inspiring English sources

After the PPA was proposed firstly by Martinet in [12] and further developed by Rockafellar in [13], it plays a vital role in optimization area.

However there is a lack of research in the large-scale design optimization area applying MCDM to address further approximation using meta-models.

To achieve a trade-off, we define the key performance indicator (KPI) of an optimization area, e.g., sector i, as KPI i = ω T i 5%% + ( 1 − ω ) T i 50%%.

It is important to observe that some of the fitness transformations analysed here, like those caused by the duplication of solutions, are not currently explored in the evolutionary dynamic optimization area.

The strain optimization area provides the users with interfaces to identify sets of reaction deletions (or gene deletions if gene-reaction associations are available) that maximize a given objective function related with a desired industrial objective.

PSO has been extensively used to many engineering optimization areas due to its simple conceptual framework, unique searching mechanism, computational efficiency, and easy implementation [290].

The ability of calculating the bounds of the objective value developed in this paper might help lead to more realistic modeling efforts in engineering optimization areas.

Four responses were selected for optimization purposes (area under the peaks, quantity of peaks, analysis time and resolution between the first principal peak and the following one).

With this tool, we conduct a case study on dynamic reliability management and show how quantitative reliability data obtained from this tool improves the four-dimensional Pareto optimization for area, latency, power and reliability.

MP – Multilayer Perceptron; SMO – Sequential Minimal Optimization; AUC – Area under the receiving-operator characteristic curve; CI – Confidence interval; SPE – Specificity; CRF – Clinical Risk Factors; TcB – Transcutaneous bilirubin.

It is known that (1.8) provides a convenient framework for the unified study of optimal solutions in many optimization related areas including mathematical programming, complementarity, variational inequalities, optimal control, mathematical economics, equilibria, game theory.