Sentence examples for design for the optimization from inspiring English sources

Response surface methodology has been applied by means of a central composite design for the optimization of the variables affecting the extraction procedure searching for the best recovery.

The results encourage the application of Box-Behnken design for the optimization of critical variables and fabrication of nanoparticles with desirable properties for drug delivery.

Critical components are highlighted that require careful design for the optimization of the device, namely the feedback valve, the power cylinder, the adiabatic volume and the thermal resistance in the heat exchangers.

The use of expanded bed adsorption with three different adsorbents Streamline (SP XL, DEAE and PHENYL) to purify the chitosanase from Metarhizium anisopliae strain with and without clarification using Doehlert design for the optimization of the experiments has been investigated.

For this purpose, it was firstly performed a central composite rotatable design for the optimization of the extraction conditions followed by a comparison of this strategy with other methods (Soxhlet, ultrasound-assisted extraction and micellar extraction).

The applications described in this paper clearly show the practical usefulness of experimental design for the optimization of synthetic protocol, in particular complex experimental conditions.

Taguchi method is a powerful optimization tool designed for the optimization of single performance characteristics, but most of the real engineering problems demands for multiple objective optimization.

We present a novel parallel gradient optimization algorithm designed for the optimization of molecular geometry – the parallel preconditioned LBFGS (PP-LBFGS) method.

The central arm spectrometers for the PHENIX experiment at the Relativistic Heavy Ion Collider have been designed for the optimization of particle identification in relativistic heavy ion collisions.

For alleviating the issue of local optimum traps, the random morphology description functions (RMDFs) are introduced to generate random initial designs for the optimization process.

A multiobjective linear programming model has been designed for the optimization of land-use areas, where the objectives include economic, social, and environmental aspects.