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Mathematical modelling can be utilized in the optimization and control procedure of parameters.
The objective function which is utilized in the optimization study is the total cost rate of the plant.
For the first scenario, the objective functions which are utilized in the optimization study are exergy efficiency and the sum of the unit costs of the system products.
This algorithm exploits stochastic expansions derived from the Non-Intrusive Polynomial Chaos (NIPC) technique to create surrogate models utilized in the optimization process.
The two objective functions utilized in the optimization are the total cost rate of the system (known as the cost associated with component purchasing and environmental impact) and the system exergy efficiency.
The two objective functions utilized in the optimization are the total cost rate of the system, which is the cost associated with fuel, component purchasing and environmental impact, and the system exergy efficiency.
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In this paper, the linearly weighted average, geometrical average and particle swarm optimization methods are utilized in the multiobjective optimization for these three different tapered tube cases, respectively.
Choice of the appropriate velocity and bend shape can, therefore, be utilized in the overall optimization of the operating conditions of pneumatic conveying systems.
The common approach is to use multiple plausible geostatistical realizations of the reservoir model in order to quantify the uncertainty, however, usually a small ensemble of realizations is utilized in the robust optimization due to the computational cost.
The topology of the dynamic contact map changes during the course of folding and this information is utilized in the dynamic optimization model.
Other criteria, such as significance of the differentially expressed microRNAs can be utilized in this optimization.
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