Exact(4)
Table 1 Genetic algorithm's settings Parameter Value Population size 100 Maximum generations 100 Crossover probability 0.8 Mutation probability 0.01 Selection method Stochastic universal approximation (SUS) Crossover points 2 points.
Table 7 Parameters for NSGA-II Symbol Value Population size 50 Max evaluations 2000 Crossover operator Single-point crossover Crossover probability 0.9 Mutation operator Bit-flip mutation Mutation probability 1/number of variables Selection operator Binary tournament2.
Table 2 The range and the best value of investigated genetic algorithm parameters Parameter Range Best value Population size 5,10,15 10 Number of best timetables that are copied over to the next generation 0.05,0.1,0.2 0.1 Crossover rate 0.9,0.65,0.4 0.9 Mutation rate 0.01,0.05,0.2 0.01,0.05,0.2
CIMT z scores for the common and internal arteries were calculated as (patient value – "population" mean)/ population" SD, where the age- and sex-specific CIMT "population" mean and SD in those with type 1 diabetes were taken from published DCCT/EDIC data (16).
Similar(56)
In summary, our findings provide evidence that GPs are able to perform low cost, high value population-based evaluation.
However, when relative differences within a single patient are of interest, e.g. when assessing defect areas (percentage of LV with VT below a reference value), population-averaged metabolite corrections can be considered.
These figures have been adjusted to account for factors such as increasing values, population growth and inflation..
(i) At time the GA-based procedure is initialized by a constant-value population.
Parameters Values Population size 40 Chromosome length 128 Maximum number of generation 30 Crossover rate 0.7 Mutation rate 0.05.
Table 2 Particle swarm optimization parameters Parameters Values Population size, T 16 Acceleration coefficients, a 1 and a 2 2.05 [V min, V max] [−G, G].
Apart from the four traits with intermediate values, population average values of most traits were between 4.1 and 5.3.
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