Sentence examples for variables were optimized by using from inspiring English sources

The design variables were optimized by using genetic algorithm and the optimal solutions were obtained.

Then significant variables were optimized by using a Box Behnken design (BBD) and desirability function (DF).

The significant variables were optimized by using a central composite design (CCD) combined with desirability function (DF).

In addition, the effects of operational variables were optimized by using response surface methodology and the reusability of microreactor was studied.

Influence variables such as volume of extracting (carbon tetrachloride: CCl4) and dispersing solvents (acetonitrile: ACN), pH and ionic strength, extraction time and centrifugation time were screened in a 26−2 fractional factorial design (FFD) and then the significant variables were optimized by using a central composite design (CCD).

Influence of process variables during polymer particle formation were optimized by using half-factorial design.

The SSF conditions were optimized by using one-variable-at-a-time approach and two level full factorial design.

The extracting parameters were optimized by using four-variable-three-level Box Behnken design (BBD) coupled with response surface methodology (RS M.

The extracting parameters were optimized by using three-variable-three-level Box Behnken design and response surface methodology (RS M based on the single-factor experiments.

Design variables of the offset-strip fins in a fuel cooler were optimized by using the correlations and the design of experiment.

These provide subject-specific explanatory variables (surprise, entropy) used in a hierarchical general linear model (GLM) whose parameters were optimized by using an empirical Bayes procedure (see the Supplemental Experimental Procedures).