A new method, Collaborative Allocation (CA), is proposed to solve the large-scale optimum allocation problem in aircraft conceptual design.
Whether yield increases as forecast by the FAO [ 26] can be sustained, for example, based on high-yielding varieties, large-scale optimum management and precision farming, has been questioned.
When the stiffness of the assembly of scales is optimum, the scales are effective in dissipating a significant proportion of the impact energy as they deform.
Different media such as NB, LB and MM with different concentration of glucose and sodium succinate (5 mM, 10 mM and 20 mM), varying pH (6.5, 7.5, 8.0 and 8.5) and incubation temperature (28°C, 30°C, 35°C and 37°C) were tested at laboratory scale for optimum production of 3-NC and 3-MC.
In large-scale problems, optimum size of each component of hybrid energy systems will require complex computer program and will need much time for computing.
Yet, selection indices require prior knowledge about the economic value of the traits for proper scaling before optimum phenotypic weights can be estimated.
By contrast for MERRA and CFSR, the ratio between optimum scale and minimum scale is 14 and 13, respectively, and is thus the largest of all considered reanalyses.
Consequently, no scaling larger than Θ log2 is the optimum scaling order. Now, we prove that no scaling smaller than Θ log2 is the optimum choice.
In the case of NCEP-R, most notably, the optimum scale is only twice the minimum scale.
Regarding the optimum scale analysis, ERA-int show the smallest optimum scale, with 2.88°.
However, when DMUs are not operating at optimum scale, results of measured technical efficiency from CCR model may be altered by scale efficiency.
