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This suggests that there could be considerable discrepancies between the SuD and CPP components of different levels of objectives set.
Another important issue is the lack of consistency identified between the different levels of objectives set for FP Work Programmes.
However, as argued in the previous section, this does not guarantee a positive contribution to higher-level objectives, since there seem to be discrepancies between the different levels of objectives and targets set for the FPs.
The different levels of objectives justify the distinction between output and outcome.
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According to the current technical practice, it can be organized at different levels of complexity with objectives sequentially defined: operating parameters, geometrical details and technological elements.
Because it systematically relates means to objectives at different levels of abstraction, higher-level objectives can be made actionable step-by-step.
Several published studies showed different levels of agreement between patient and objective assessor derived joint counts.
Specifically, the different levels of physical activity (measured by objective measurement methods) showed different relationships to overweight.
Some activities were similar or repeated for different objectives and different levels of prevention.
As obvious in the figure, deviation reduction in this algorithm is when its parameters are set as follows: the number of initial particles on level 1, the number of repetitions on level 2, the maximum velocity of particles on level 1, and the inertia weight on level 3. Open image in new window Fig. 3 Chart of S/N rate of objective functions at different levels of MOPSO algorithm factors.
As it can be seen from Fig. 2, deviation reduction for this algorithm is when the parameters are set as follows: the population size is on level 3, the number of generation is on level 2, the crossover rate is on level 3, the and mutation rate is on level 1. Open image in new window Fig. 2 Chart of S/N rate of objective functions at different levels of NSGA-II algorithm factors.
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