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Control experiments to optimize biophysical related parameters e.g., labeling density optimization, label size, and label specificity.
Hence, packing density optimization is a promising way of improving the performance of RAC.
The air heat-pump design, with heat-loading density optimization, leads to smaller size equipment.
Hence, the capacity density optimization scheme may result in lower spectral efficiency because of the static allocation of frequency bands.
The different results obtained from the heating-load optimization and the heating-load density optimization are shown.
The BCHP design with heat loading density optimization leads to a smaller size of all equipments comprising the heat pump.
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c) Current Density before optimization and d) current density after optimization Run NaOH concentration, M Temperature, °C Metal catalyst loading, (wt%) Predicted current density, mAcm−2 Experimental current density, mAcm−2 Condition a 6.00 50 20 161.41 164.10 Maximum b 0.50 45 20 130.98 143.94 Minimum c 1.00 25 20 – 86.36 Bef.
Due to the binary characteristics of the BESO method of adding/removing material, the methodology proposed here circumvents some problems faced by the traditional density based optimization methods, especially concerning the fluid structure interface during the optimization process.
Figure 6 shows the case of the generalized Gaussian mixed density function optimization based on the following three objectives with a balanced comprehensive optimization that indicates algorithm using the optimal weights μ can keep the characteristic distribution density function under conditions of integrated optimization.
b Density with optimization of computing ability.
a Density with optimization of remaining energy.
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