Sentence examples for using the proposed optimization from inspiring English sources

After model testing, the optimized resource combinations obtained using the proposed optimization module enhance the utilizations of each resource and reduce the overstocking of materials in the simulation to achieve the goals of reduced cost, efficient work schedules and enhanced productivity.

Thus, we define the following cost function, which quantifies variations in the first derivatives of a variable with respect to variations in the parameter set Δ δ: (16) Here, δ* is the optimal parameter set found using the proposed optimization algorithm.

Using the proposed optimization methods and real-life data, we analyze the optimal balance between the costs of the resources and the outsourcing costs and show how the outsourcing rates and the total costs behave for different system parameters.

All parameter computations of the FOPID employ random initial conditions, using the proposed optimization method.

Finally, the lightweight designs of two composite laminated plates are performed by using the proposed optimization procedure.

Using the proposed optimization algorithm for planning and design, an efficient, economical, and interconnected system of electrical power could be realized from renewable energy over a large area.

The results exhibit that the daily household energy cost reduces 29.5%31.5%% by using the proposed optimization-based algorithm in the HEMS instead of a simple rule-based algorithm under different pricing schemes.

The obtained results encourage the use of the proposed optimization method in automated construction applications, such as underground tunneling, where the confined environment and the required task add challenges in the design of task-based robotic manipulators.

Results show that the use of the proposed optimization algorithm represents a viable option, giving an added insight in terms of the buckling resistance and mechanical design in nonlinear material and geometric scenarios.

Optimized solutions for fast separation and high resolution separation, respectively, were obtained using the proposed multivariate optimization.

We confirm that reconstructed porous concrete specimens generated using the proposed probabilistic optimization process have statistically identical characteristics, and exhibit similar material behaviors as with the original model.