Sentence examples for optimization selection from inspiring English sources

Evolution is another well-known theory that explains innovation as a process of variation, optimization, selection, and self-organization (Poutanen et al., 2016).

The optimal linear-quadratic (LQ) control approach in which the root locus method is used for optimization selection of weight matrix Q is adopted to tune the control parameters of multiple resonant controllers.

To address the problems that the traditional sensor optimization selection model does not take the requirements of prognostics and health management especially fault prognostics for testability into account and does not consider the impacts of sensor actual attributes on fault detectability, a novel sensor optimization selection model is proposed.

The earliest and simplest model for structuring the design process is linear, consisting of steps such as problem identification; problem statement with design criteria; specification of requirements; ideation: devising possible solutions; feasibility analysis; optimization; selection of solution; detailed design; implementation; testing; release; and maintenance.

The main contribution of this work is to emerge the preliminary and detailed planning, implementation of compulsive and additive constraints, optimization sequence of the operations of the part, and optimization selection of machine, cutting tool and TAD for each operation using the proposed GA, simultaneously.

And | W| has bigger ranking criteria than 1 2 W 2, which makes optimization selection more accurate.

It is well known that immobilization confer stability to enzymes, however, it came at a cost of calculative optimization, support selection and choice of linking method.

Aimed at feature optimization and selection in intrusion detections, a support vector machine (SVM) based two-stage feature selection method was proposed based on feature evaluations of the ratio of detection rate and false alarm rate [9].

Particle swarm optimization variable selection (PSOvs) method, together with multi-linear regression (MLR) model, selects suitable descriptors from a pool of 1124 predefined descriptors.

The workflow includes problem definition, mode selection, selectivity optimization, system optimization, and method validation.

So in this section, aiming at efficiency optimization, supplier selection is examined using DEA model.