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However, considering the great impact that a given control structure configuration can have on the process operability and product quality optimization, the time optimal grade transition problem needs to be solved in parallel with the optimal selection of the closed-loop control pairings between the controlled and manipulated variables.
For IaaS optimization, the time for VMs creation would be a critical factor.
After optimization, the time to detect the signal was approximately 40 min, and the reaction temperature was in a broad range from 4 °C to 37 °C.
As a pre-processing step for the parameter optimization, the time series were smoothed/denoised and their slopes (numerical first derivatives) were estimated as shown in previous work on non-stationary noise filtering [ 36].
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For that purpose, a moving target approach has been applied running the mathematical optimization model, basically based on three phases of optimization and re-optimization over the time.
The program will also print out the execution time required for model optimization, the execution time of one SPR cycle, and the overall execution time.
Lastly, the optimization model has been designed on a moving target framework and is based on three phases of optimization and re-optimization over the time.
The main contribution of this work is the optimization of the time and rate allocation parameters for such setups.
We use the uploading middleware (UPMIDD) to perform the block optimization at the time when the data are uploaded to the storage system.
We study the joint optimization of the time, bandwidth, and power allocation to maximize ST's transmission rate while satisfying PT's secrecy transmission rate requirements.
This paper proposes a new metamodeling framework that reduces the computational burden of the structural optimization against the time history loading.
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