Sentence examples for determination selection from inspiring English sources

The steps were implemented according to the relevant regulatory guidelines (quality target product profile (QTPP) determination, selection of critical quality attributes (CQAs) and critical process parameters (CPPs)) and a special software (Lean QbD Software®) was used for the RA, which represents a novelty in this field.

Computer scientists, impressed by the beauty and apparent universality of Darwin's theory, proposed a concept of genetic algorithm, a software environment in which strings of information ("chromosomes") undergo repetitive cycles of fitness determination, selection, and mutation/recombination [ 2, 3].

Indeed, consider condensing them into one sentence: "Computer scientists, impressed by the beauty and apparent universality of Darwin's theory, proposed a concept of genetic algorithm, a software environment in which strings of information ("chromosomes") undergo repetitive cycles of fitness determination, selection, multiplication, and mutation/recombination [ 2, 3].

It consists of a multi-objective mixed integer linear programming model which integrates several interconnected decisions: facility location and capacity determination; supplier selection and purchase levels definition; technology selection and allocation; transportation network definition including both unimodal and intermodal options; supply planning; product recovery and remanufacturing.

Appropriate determination and selection of weights and biases is very important in network performance.

The structure determination, variable selection and distributed computation are solved in practice.

Ensemble pruning is basically the determination and selection of the final base models that will form part of the ensemble model.

Network design and development, terminal capacity and location determination, marketplace selection and vessel fleet and working-power planning are problems of strategic level planning.

The determination and selection of the most appropriate surface topography parameters is important in optimizing the design and quality of industrial processes and products.

Following preformulation studies like solubility determination, component selection and pseudoternary phase diagram construction, a 3-factor D-optimal mixture design was used for optimizing a microemulsion having desirable formulation characteristics.

The best models in terms of their performance are stored and can be used for the prediction of surface roughness of random input data, confined of course in the extremes of the input data used in the training of the models, but also 3D surfaces are produced for the a priori determination and selection of optimum cutting conditions, based on experimental results and simulation output.